메뉴 건너뛰기




Volumn , Issue , 2019, Pages 77-98

The role of big data analytics in predicting suicide

Author keywords

Machine learning; Medical records; Prediction; Suicide

Indexed keywords


EID: 85064368054     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-030-03553-2_5     Document Type: Chapter
Times cited : (37)

References (114)
  • 1
    • 85064367555 scopus 로고    scopus 로고
    • Accessed 20 Feb 2018
    • Accurint (2018) http://www.accurint.com. Accessed 20 Feb 2018
    • (2018)
  • 3
    • 85011537373 scopus 로고    scopus 로고
    • Predicting suicidal behavior from longitudinal electronic health records
    • Barak-Corren Y, Castro VM, Javitt S, Hoffnagle AG, Dai Y, Perlis RH et al (2017) Predicting suicidal behavior from longitudinal electronic health records. Am J Psychiatry 174(2):154-162. https://doi.org/10.1176/appi.ajp.2016.16010077
    • (2017) Am J Psychiatry , vol.174 , Issue.2 , pp. 154-162
    • Barak-Corren, Y.1    Castro, V.M.2    Javitt, S.3    Hoffnagle, A.G.4    Dai, Y.5    Perlis, R.H.6
  • 4
    • 85014741243 scopus 로고    scopus 로고
    • Suicide detection in Chile: Proposing a predictive model for suicide risk in a clinical sample of patients with mood disorders
    • Barros J, Morales S, Echávarri O, García A, Ortega J, Asahi T et al (2017) Suicide detection in Chile: proposing a predictive model for suicide risk in a clinical sample of patients with mood disorders. Rev Bras Psiquiatr 39:1-11
    • (2017) Rev Bras Psiquiatr , vol.39 , pp. 1-11
    • Barros, J.1    Morales, S.2    Echávarri, O.3    García, A.4    Ortega, J.5    Asahi, T.6
  • 8
    • 84944206342 scopus 로고    scopus 로고
    • Text mining the EMR for modeling and predicting suicidal behavior among US veterans of the 1991 Persian gulf war
    • 5-8 Jan 2015
    • Ben-Ari A, Hammond K (2015) Text mining the EMR for modeling and predicting suicidal behavior among US veterans of the 1991 Persian gulf war. In: Paper presented at the 2015 48th Hawaii international conference on system sciences, 5-8 Jan 2015, pp 3168-3175. https://doi.org/10.1109/hicss.2015.382
    • (2015) Paper Presented at the 2015 48Th Hawaii Internati , pp. 3168-3175
    • Ben-Ari, A.1    Hammond, K.2
  • 9
    • 84905990872 scopus 로고    scopus 로고
    • Suicide risk assessment and risk formulation part II: Suicide risk formulation and the determination of levels of risk
    • Berman AL, Silverman MM (2014) Suicide risk assessment and risk formulation part II: suicide risk formulation and the determination of levels of risk. Suicide Life Threat Behav 44(4):432- 443. https://doi.org/10.1111/sltb.12067
    • (2014) Suicide Life Threat Behav , vol.44 , Issue.4
    • Berman, A.L.1    Silverman, M.M.2
  • 10
    • 84907190170 scopus 로고    scopus 로고
    • A review of multidisciplinary clinical practice guidelines in suicide prevention: Toward an emerging standard in suicide risk assessment and management, training and practice
    • Bernert RA, Hom MA, Roberts LW (2014) A review of multidisciplinary clinical practice guidelines in suicide prevention: toward an emerging standard in suicide risk assessment and management, training and practice. Acad Psychiatry 38(5):585-592. https://doi.org/10.1007/s40596-014-0180-1
    • (2014) Acad Psychiatry , vol.38 , Issue.5 , pp. 585-592
    • Bernert, R.A.1    Hom, M.A.2    Roberts, L.W.3
  • 11
    • 84880699860 scopus 로고    scopus 로고
    • Deliberate self-harm patients in the emergency department: Who will repeat and who will not? Validation and development of clinical decision rules
    • Bilen K, Ponzer S, Ottosson C, Castren M, Pettersson H (2013) Deliberate self-harm patients in the emergency department: who will repeat and who will not? Validation and development of clinical decision rules. Emerg Med J 30(8):650-656. https://doi.org/10.1136/emermed-2012-201235
    • (2013) Emerg Med J , vol.30 , Issue.8 , pp. 650-656
    • Bilen, K.1    Ponzer, S.2    Ottosson, C.3    Castren, M.4    Pettersson, H.5
  • 12
    • 84921836313 scopus 로고    scopus 로고
    • Suicide risk assessment in the emergency department: Out of the darkness
    • Bolton JM (2015) Suicide risk assessment in the emergency department: out of the darkness. Depress Anxiety 32(2):73-75. https://doi.org/10.1002/da.22320
    • (2015) Depress Anxiety , vol.32 , Issue.2 , pp. 73-75
    • Bolton, J.M.1
  • 13
    • 84949035023 scopus 로고    scopus 로고
    • Suicide risk assessment and intervention in people with mental illness
    • Bolton JM, Gunnell D, Turecki G (2015) Suicide risk assessment and intervention in people with mental illness. BMJ 351:h4978
    • (2015) BMJ , vol.351
    • Bolton, J.M.1    Gunnell, D.2    Turecki, G.3
  • 14
    • 85099015850 scopus 로고    scopus 로고
    • Validating machine learning algorithms for twitter data against established measures of suicidality
    • Braithwaite SR, Giraud-Carrier C, West J, Barnes MD, Hanson CL (2016) Validating machine learning algorithms for twitter data against established measures of suicidality. JMIR Ment Health 3(2):e21. https://doi.org/10.2196/mental.4822
    • (2016) JMIR Ment Health , vol.3 , Issue.2
    • Braithwaite, S.R.1    Giraud-Carrier, C.2    West, J.3    Barnes, M.D.4    Hanson, C.L.5
  • 15
    • 84885605309 scopus 로고    scopus 로고
    • Application of audio computer-assisted selfinterviews to collect self-reported health data: An overview
    • Brown JL, Swartzendruber A, DiClemente RJ (2013) Application of audio computer-assisted selfinterviews to collect self-reported health data: an overview. Caries Res 47(Suppl 1):40-45. https://doi.org/10.1159/000351827
    • (2013) Caries Res , vol.47 , pp. 40-45
    • Brown, J.L.1    Swartzendruber, A.2    Diclemente, R.J.3
  • 16
    • 84895524700 scopus 로고    scopus 로고
    • Improving the detection and prediction of suicidal behavior among military personnel by measuring suicidal beliefs: An evaluation of the suicide cognitions scale
    • Bryan CJ, Rudd DM, Wertenberger E, Etienne N, Ray-Sannerud BN, Morrow CE et al (2014) Improving the detection and prediction of suicidal behavior among military personnel by measuring suicidal beliefs: an evaluation of the suicide cognitions scale. J Affect Disord 159:1522. https://doi.org/10.1016/j.jad.2014.02.021
    • (2014) J Affect Disord , vol.159 , pp. 1522
    • Bryan, C.J.1    Rudd, D.M.2    Wertenberger, E.3    Etienne, N.4    Ray-Sannerud, B.N.5    Morrow, C.E.6
  • 17
    • 84896510632 scopus 로고    scopus 로고
    • Hospital presenting self-harm and risk of fatal and nonfatal repetition: Systematic review and meta-analysis
    • Carroll R, Metcalfe C, Gunnell D (2014) Hospital presenting self-harm and risk of fatal and nonfatal repetition: systematic review and meta-analysis. PLoS One 9(2):e89944. https://doi.org/10.1371/journal.pone.0089944
    • (2014) Plos One , vol.9 , Issue.2
    • Carroll, R.1    Metcalfe, C.2    Gunnell, D.3
  • 18
    • 85020074775 scopus 로고    scopus 로고
    • Predicting suicidal behaviours using clinical instruments: Systematic review and meta-analysis of positive predictive values for risk scales
    • Carter G, Milner A, McGill K, Pirkis J, Kapur N, Spittal MJ (2017) Predicting suicidal behaviours using clinical instruments: systematic review and meta-analysis of positive predictive values for risk scales. Br J Psychiatry 210(6):387-395. https://doi.org/10.1192/bjp.bp.116.182717
    • (2017) Br J Psychiatry , vol.210 , Issue.6 , pp. 387-395
    • Carter, G.1    Milner, A.2    McGill, K.3    Pirkis, J.4    Kapur, N.5    Spittal, M.J.6
  • 19
    • 37949004300 scopus 로고    scopus 로고
    • Data mining for imbalanced datasets: An overview
    • Maimon O, Rokach L, 2nd edn. Springer, Berlin
    • Chawla N (2010) Data mining for imbalanced datasets: an overview. In: Maimon O, Rokach L (eds) Data mining and knowledge discovery handbook, 2nd edn. Springer, Berlin, pp 875-886
    • (2010) Data Mining and Knowledge Discovery Handbook , pp. 875-886
    • Chawla, N.1
  • 20
    • 84991783849 scopus 로고    scopus 로고
    • Predicting suicide following self-harm: Systematic review of risk factors and risk scales
    • Chan MK, Bhatti H, Meader N, Stockton S, Evans J, O’Connor RC et al (2016) Predicting suicide following self-harm: systematic review of risk factors and risk scales. Br J Psychiatry 209(4):277-283. https://doi.org/10.1192/bjp.bp.115.170050
    • (2016) Br J Psychiatry , vol.209 , Issue.4 , pp. 277-283
    • Chan, M.K.1    Bhatti, H.2    Meader, N.3    Stockton, S.4    Evans, J.5    O’Connor, R.C.6
  • 21
    • 85041482472 scopus 로고    scopus 로고
    • Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea
    • Choi SB, Lee W, Yoon JH, Won JU, Kim DW (2018) Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea. J Affect Disord 231:8-14. https://doi.org/10.1016/jjad.2018.01.019
    • (2018) J Affect Disord , vol.231 , pp. 8-14
    • Choi, S.B.1    Lee, W.2    Yoon, J.H.3    Won, J.U.4    Kim, D.W.5
  • 22
    • 85020183270 scopus 로고    scopus 로고
    • Suicide rates after discharge from psychiatric facilities: A systematic review and meta-analysis
    • Chung DT, Ryan CJ, Hadzi-Pavlovic D, Singh SP, Stanton C, Large MM (2017) Suicide rates after discharge from psychiatric facilities: a systematic review and meta-analysis. JAMA Psychiat 74(7):694-702. https://doi.org/10.1001/jamapsychiatry.2017.1044
    • (2017) JAMA Psychiat , vol.74 , Issue.7 , pp. 694-702
    • Chung, D.T.1    Ryan, C.J.2    Hadzi-Pavlovic, D.3    Singh, S.P.4    Stanton, C.5    Large, M.M.6
  • 23
    • 85044909823 scopus 로고    scopus 로고
    • Treatment selection in depression
    • Cohen ZD, DeRubeis RJ (2018) Treatment selection in depression. Annu Rev Clin Psychol. https://doi.org/10.1146/annurev-clinpsy-050817-084746
    • (2018) Annu Rev Clin Psychol
    • Cohen, Z.D.1    Derubeis, R.J.2
  • 24
    • 84991309805 scopus 로고    scopus 로고
    • Novel use of natural language processing (NLP) to predict suicidal ideation and psychiatric symptoms in a text-based mental health intervention in Madrid
    • Cook BL, Progovac AM, Chen P, Mullin B, Hou S, Baca-Garcia E (2016) Novel use of natural language processing (NLP) to predict suicidal ideation and psychiatric symptoms in a text-based mental health intervention in Madrid. Comput Math Methods Med 2016:8708434. https://doi.org/10.1155/2016/8708434
    • (2016) Comput Math Methods Med , vol.2016 , pp. 8708434
    • Cook, B.L.1    Progovac, A.M.2    Chen, P.3    Mullin, B.4    Hou, S.5    Baca-Garcia, E.6
  • 26
    • 84889593834 scopus 로고    scopus 로고
    • Are hospital services for self-harm getting better? An observational study examining management, service provision and temporal trends in England
    • Cooper J, Steeg S, Bennewith O, Lowe M, Gunnell D, House A et al (2013) Are hospital services for self-harm getting better? An observational study examining management, service provision and temporal trends in England. BMJ Open 3(11):e003444. https://doi.org/10.1136/bmjopen-2013-003444
    • (2013) BMJ Open , vol.3 , Issue.11
    • Cooper, J.1    Steeg, S.2    Bennewith, O.3    Lowe, M.4    Gunnell, D.5    House, A.6
  • 27
    • 84938768141 scopus 로고    scopus 로고
    • Differentiating suicide attempters from suicide ideators using the integrated motivational-volitional model of suicidal behaviour
    • Dhingra K, Boduszek D, O’Connor RC (2015) Differentiating suicide attempters from suicide ideators using the integrated motivational-volitional model of suicidal behaviour. J Affect Disord 186:211-218. https://doi.org/10.1016/jjad.2015.07.007
    • (2015) J Affect Disord , vol.186 , pp. 211-218
    • Dhingra, K.1    Boduszek, D.2    O’Connor, R.C.3
  • 28
    • 85019070732 scopus 로고    scopus 로고
    • The association between immune markers and recent suicide attempts in patients with serious mental illness: A pilot study
    • Dickerson F, Adamos M, Katsafanas E, Khushalani S, Origoni A, Savage C et al (2017) The association between immune markers and recent suicide attempts in patients with serious mental illness: a pilot study. Psychiatry Res 255:8-12. https://doi.org/10.1016/j.psychres.2017.05.005
    • (2017) Psychiatry Res , vol.255 , pp. 8-12
    • Dickerson, F.1    Adamos, M.2    Katsafanas, E.3    Khushalani, S.4    Origoni, A.5    Savage, C.6
  • 31
    • 84995495684 scopus 로고    scopus 로고
    • Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research
    • Franklin JC, Ribeiro JD, Fox KR, Bentley KH, Kleiman EM, Huang X et al (2017) Risk factors for suicidal thoughts and behaviors: a meta-analysis of 50 years of research. Psychol Bull 143(2):187-232. https://doi.org/10.1037/bul0000084
    • (2017) Psychol Bull , vol.143 , Issue.2 , pp. 187-232
    • Franklin, J.C.1    Ribeiro, J.D.2    Fox, K.R.3    Bentley, K.H.4    Kleiman, E.M.5    Huang, X.6
  • 32
    • 84906315065 scopus 로고    scopus 로고
    • Improving the short-term prediction of suicidal behavior
    • Glenn CR, Nock MK (2014) Improving the short-term prediction of suicidal behavior. Am J Prev Med 47(3 Suppl 2):S176-S180. https://doi.org/10.1016/j.amepre.2014.06.004
    • (2014) Am J Prev Med , vol.47 , Issue.3
    • Glenn, C.R.1    Nock, M.K.2
  • 33
    • 84947037842 scopus 로고    scopus 로고
    • Disclosure of sensitive behaviors across self-administered survey modes: A meta-analysis
    • Gnambs T, Kaspar K (2015) Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis. Behav Res Methods 47(4):1237-1259. https://doi.org/10.3758/s13428-014-0533-4
    • (2015) Behav Res Methods , vol.47 , Issue.4 , pp. 1237-1259
    • Gnambs, T.1    Kaspar, K.2
  • 35
    • 84938058738 scopus 로고    scopus 로고
    • Predictive value of baseline electronic Columbia-Suicide Severity Rating Scale (EC-SSRS) assessments for identifying risk of prospective reports of suicidal behavior during research participation
    • Greist JH, Mundt JC, Gwaltney CJ, Jefferson JW, Posner K (2014) Predictive value of baseline electronic Columbia-Suicide Severity Rating Scale (eC-SSRS) assessments for identifying risk of prospective reports of suicidal behavior during research participation. Innov Clin Neurosci 11(9-10):23-31
    • (2014) Innov Clin Neurosci , vol.11 , Issue.9-10 , pp. 23-31
    • Greist, J.H.1    Mundt, J.C.2    Gwaltney, C.J.3    Jefferson, J.W.4    Posner, K.5
  • 36
    • 68549133155 scopus 로고    scopus 로고
    • Learning from imbalanced data
    • He H, Garcia EA (2009) Learning from imbalanced data. IEEE Trans Knowl Data Eng 21(9):1263-1284. https://doi.org/10.1109/tkde.2008.239
    • (2009) IEEE Trans Knowl Data Eng , vol.21 , Issue.9 , pp. 1263-1284
    • He, H.1    Garcia, E.A.2
  • 37
    • 85018877440 scopus 로고    scopus 로고
    • Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach
    • Hettige NC, Nguyen TB, Yuan C, Rajakulendran T, Baddour J, Bhagwat N et al (2017) Classification of suicide attempters in schizophrenia using sociocultural and clinical features: a machine learning approach. Gen Hosp Psychiatry 47:20-28. https://doi.org/10.1016/j.genhosppsych.2017.03.001
    • (2017) Gen Hosp Psychiatry , vol.47 , pp. 20-28
    • Hettige, N.C.1    Nguyen, T.B.2    Yuan, C.3    Rajakulendran, T.4    Baddour, J.5    Bhagwat, N.6
  • 38
    • 85038836441 scopus 로고    scopus 로고
    • Quantifying the relationship between social capital and economic conditions in Appalachia
    • Holtkamp CR, Weaver RC (2018) Quantifying the relationship between social capital and economic conditions in Appalachia. Appl Geogr 90:175-186. https://doi.org/10.1016/j.apgeog.2017.12.010
    • (2018) Appl Geogr , vol.90 , pp. 175-186
    • Holtkamp, C.R.1    Weaver, R.C.2
  • 39
    • 84873166295 scopus 로고    scopus 로고
    • Service user perspectives on psychosocial assessment following self-harm and its impact on further help-seeking: A qualitative study
    • Hunter C, Chantler K, Kapur N, Cooper J (2013) Service user perspectives on psychosocial assessment following self-harm and its impact on further help-seeking: a qualitative study. J Affect Disord 145(3):315-323. https://doi.org/10.1016/j.jad.2012.08.009
    • (2013) J Affect Disord , vol.145 , Issue.3 , pp. 315-323
    • Hunter, C.1    Chantler, K.2    Kapur, N.3    Cooper, J.4
  • 40
    • 72849143581 scopus 로고    scopus 로고
    • Exploratory data mining analysis identifying subgroups of patients with depression who are at high risk for suicide
    • Ilgen MA, Downing K, Zivin K, Hoggatt KJ, Kim HM, Ganoczy D et al (2009) Exploratory data mining analysis identifying subgroups of patients with depression who are at high risk for suicide. J Clin Psychiatry 70(11):1495-1500. https://doi.org/10.4088/JCP.08m04795
    • (2009) J Clin Psychiatry , vol.70 , Issue.11 , pp. 1495-1500
    • Ilgen, M.A.1    Downing, K.2    Zivin, K.3    Hoggatt, K.J.4    Kim, H.M.5    Ganoczy, D.6
  • 41
    • 84989353767 scopus 로고    scopus 로고
    • Psychological approaches to suicide treatment and prevention
    • Jobes DA, Au JS, Siegelman A (2015) Psychological approaches to suicide treatment and prevention. Curr Treat Options Psychiatry 2(4):363-370. https://doi.org/10.1007/s40501-015-0064-3
    • (2015) Curr Treat Options Psychiatry , vol.2 , Issue.4 , pp. 363-370
    • Jobes, D.A.1    Au, J.S.2    Siegelman, A.3
  • 42
    • 85026739474 scopus 로고    scopus 로고
    • A randomized controlled trial of the collaborative assessment and management of suicidality versus enhanced care as usual with suicidal soldiers
    • Jobes DA, Comtois KA, Gutierrez PM, Brenner LA, Huh D, Chalker SA et al (2017) A randomized controlled trial of the collaborative assessment and management of suicidality versus enhanced care as usual with suicidal soldiers. Psychiatry 80(4):339-356. https://doi.org/10.1080/00332747.2017.1354607
    • (2017) Psychiatry , vol.80 , Issue.4 , pp. 339-356
    • Jobes, D.A.1    Comtois, K.A.2    Gutierrez, P.M.3    Brenner, L.A.4    Huh, D.5    Chalker, S.A.6
  • 43
    • 85021974285 scopus 로고    scopus 로고
    • Do undiagnosed suicide decedents have symptoms of a mental disorder?
    • Joiner TE Jr, Buchman-Schmitt JM, Chu C (2017) Do undiagnosed suicide decedents have symptoms of a mental disorder? J Clin Psychol 73(12):1744-1752. https://doi.org/10.1002/jclp.22498
    • (2017) J Clin Psychol , vol.73 , Issue.12 , pp. 1744-1752
    • Joiner, T.E.1    Buchman-Schmitt, J.M.2    Chu, C.3
  • 44
    • 85041518274 scopus 로고    scopus 로고
    • Predicting suicidal ideation in primary care: An approach to identify easily assessable key variables
    • Jordan P, Shedden-Mora MC, Lowe B (2018) Predicting suicidal ideation in primary care: an approach to identify easily assessable key variables. Gen Hosp Psychiatry 51:106-111. https://doi.org/10.1016/j.genhosppsych.2018.02.002
    • (2018) Gen Hosp Psychiatry , vol.51 , pp. 106-111
    • Jordan, P.1    Shedden-Mora, M.C.2    Lowe, B.3
  • 45
    • 85042741879 scopus 로고    scopus 로고
    • Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth
    • Just MA, Pan L, Cherkassky VL, McMakin D, Cha C, Nock MK et al (2017) Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth. Nat Hum Behav 1:911-919. https://doi.org/10.1038/s41562-017-0234-y
    • (2017) Nat Hum Behav , vol.1 , pp. 911-919
    • Just, M.A.1    Pan, L.2    Cherkassky, V.L.3    McMakin, D.4    Cha, C.5    Nock, M.K.6
  • 46
    • 84955389104 scopus 로고    scopus 로고
    • The prevalence rates of suicide are likely underestimated worldwide: Why it matters
    • Katz C, Bolton J, Sareen J (2016) The prevalence rates of suicide are likely underestimated worldwide: why it matters. Soc Psychiatry Psychiatr Epidemiol 51(1):125-127. https://doi.org/10.1007/s00127-015-1158-3
    • (2016) Soc Psychiatry Psychiatr Epidemiol , vol.51 , Issue.1 , pp. 125-127
    • Katz, C.1    Bolton, J.2    Sareen, J.3
  • 48
    • 85036649034 scopus 로고    scopus 로고
    • The potential of predictive analytics to provide clinical decision support in depression treatment planning
    • Kessler RC (2018) The potential of predictive analytics to provide clinical decision support in depression treatment planning. Curr Opin Psychiatry 31(1):32-39. https://doi.org/10.1097/yco.0000000000000377
    • (2018) Curr Opin Psychiatry , vol.31 , Issue.1 , pp. 32-39
    • Kessler, R.C.1
  • 49
    • 84920842240 scopus 로고    scopus 로고
    • Predicting suicides after psychiatric hospitalization in US Army soldiers: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
    • Kessler RC, Warner CH, Ivany C, Petukhova MV, Rose S, Bromet EJ et al (2015) Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). JAMA Psychiat 72(1):49-57. https://doi.org/10.1001/jamapsychiatry.2014.1754
    • (2015) JAMA Psychiat , vol.72 , Issue.1 , pp. 49-57
    • Kessler, R.C.1    Warner, C.H.2    Ivany, C.3    Petukhova, M.V.4    Rose, S.5    Bromet, E.J.6
  • 50
    • 85021820792 scopus 로고    scopus 로고
    • Developing a practical suicide risk prediction model for targeting high-risk patients in the veterans health administration
    • Kessler RC, Hwang I, Hoffmire CA, McCarthy JF, Petukhova MV, Rosellini AJ et al (2017a) Developing a practical suicide risk prediction model for targeting high-risk patients in the veterans health administration. Int J Methods Psychiatr Res 26(3). https://doi.org/10.1002/mpr.1575
    • (2017) Int J Methods Psychiatr Res , vol.26 , Issue.3
    • Kessler, R.C.1    Hwang, I.2    Hoffmire, C.A.3    McCarthy, J.F.4    Petukhova, M.V.5    Rosellini, A.J.6
  • 51
    • 84978634556 scopus 로고    scopus 로고
    • Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
    • Kessler RC, Stein MB, Petukhova MV, Bliese P, Bossarte RM, Bromet EJ et al (2017b) Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Mol Psychiatry 22(4):544-551. https://doi.org/10.1038/mp.2016.110
    • (2017) Mol Psychiatry , vol.22 , Issue.4 , pp. 544-551
    • Kessler, R.C.1    Stein, M.B.2    Petukhova, M.V.3    Bliese, P.4    Bossarte, R.M.5    Bromet, E.J.6
  • 52
    • 84864765582 scopus 로고    scopus 로고
    • The suicide assessment scale: Psychometric properties of a Norwegian language version
    • Koldsland BO, Mehlum L, Mellesdal LS, Walby FA, Diep LM (2012) The suicide assessment scale: psychometric properties of a Norwegian language version. BMC Res Notes 5:417. https://doi.org/10.1186/1756-0500-5-417
    • (2012) BMC Res Notes , vol.5 , pp. 417
    • Koldsland, B.O.1    Mehlum, L.2    Mellesdal, L.S.3    Walby, F.A.4    Diep, L.M.5
  • 53
    • 0025779325 scopus 로고
    • The construction and selection of predictive scales, with special reference to parasuicide
    • Kreitman N, Foster J (1991) The construction and selection of predictive scales, with special reference to parasuicide. Br J Psychiatry 159:185-192
    • (1991) Br J Psychiatry , vol.159 , pp. 185-192
    • Kreitman, N.1    Foster, J.2
  • 54
    • 85044384426 scopus 로고    scopus 로고
    • Suicide risk assessment among psychiatric inpatients: A systematic review and meta-analysis of high-risk categories
    • Large M, Myles N, Myles H, Corderoy A, Weiser M, Davidson M et al (2017a) Suicide risk assessment among psychiatric inpatients: a systematic review and meta-analysis of high-risk categories. Psychol Med 48(7):1119-1127. https://doi.org/10.1017/s0033291717002537
    • (2017) Psychol Med , vol.48 , Issue.7 , pp. 1119-1127
    • Large, M.1    Myles, N.2    Myles, H.3    Corderoy, A.4    Weiser, M.5    Davidson, M.6
  • 55
    • 85032854785 scopus 로고    scopus 로고
    • Can we usefully stratify patients according to suicide risk?
    • Large MM, Ryan CJ, Carter G, Kapur N (2017b) Can we usefully stratify patients according to suicide risk? BMJ 359:j4627
    • (2017) BMJ , vol.359
    • Large, M.M.1    Ryan, C.J.2    Carter, G.3    Kapur, N.4
  • 56
    • 84902554404 scopus 로고    scopus 로고
    • Risk factors for repetition of self-harm: A systematic review of prospective hospital-based studies
    • Larkin C, Di Blasi Z, Arensman E (2014) Risk factors for repetition of self-harm: a systematic review of prospective hospital-based studies. PLoS One 9(1):e84282. https://doi.org/10.1371/journal.pone.0084282
    • (2014) Plos One , vol.9 , Issue.1
    • Larkin, C.1    Di Blasi, Z.2    Arensman, E.3
  • 57
    • 0024458002 scopus 로고
    • Assessment of suicide risk by computer-delivered selfrating questionnaire: Preliminary findings
    • Levine S, Ancill RJ, Roberts AP (1989) Assessment of suicide risk by computer-delivered selfrating questionnaire: preliminary findings. Acta Psychiatr Scand 80(3):216-220
    • (1989) Acta Psychiatr Scand , vol.80 , Issue.3 , pp. 216-220
    • Levine, S.1    Ancill, R.J.2    Roberts, A.P.3
  • 58
    • 33847218612 scopus 로고    scopus 로고
    • Suicidal intent and psychiatric symptoms among inpatient suicide attempters
    • Lindqvist D, Nimeus A, Traskman-Bendz L (2007) Suicidal intent and psychiatric symptoms among inpatient suicide attempters. Nord J Psychiatry 61(1):27-32. https://doi.org/10.1080/08039480601122064
    • (2007) Nord J Psychiatry , vol.61 , Issue.1 , pp. 27-32
    • Lindqvist, D.1    Nimeus, A.2    Traskman-Bendz, L.3
  • 59
    • 84929328612 scopus 로고    scopus 로고
    • Dialectical behavior therapy for high suicide risk in individuals with borderline personality disorder: A randomized clinical trial and component analysis
    • Linehan MM, Korslund KE, Harned MS, Gallop RJ, Lungu A, Neacsiu AD et al (2015) Dialectical behavior therapy for high suicide risk in individuals with borderline personality disorder: a randomized clinical trial and component analysis. JAMA Psychiat 72(5):475-482. https://doi.org/10.1001/jamapsychiatry.2014.3039
    • (2015) JAMA Psychiat , vol.72 , Issue.5 , pp. 475-482
    • Linehan, M.M.1    Korslund, K.E.2    Harned, M.S.3    Gallop, R.J.4    Lungu, A.5    Neacsiu, A.D.6
  • 60
    • 84989845391 scopus 로고    scopus 로고
    • Does suicidal ideation as measured by the PHQ-9 predict suicide among VA patients?
    • Louzon SA, Bossarte R, McCarthy JF, Katz IR (2016) Does suicidal ideation as measured by the PHQ-9 predict suicide among VA patients? Psychiatr Serv 67(5):517-522. https://doi.org/10.1176/appi.ps.201500149
    • (2016) Psychiatr Serv , vol.67 , Issue.5 , pp. 517-522
    • Louzon, S.A.1    Bossarte, R.2    McCarthy, J.F.3    Katz, I.R.4
  • 61
    • 84975256229 scopus 로고    scopus 로고
    • Optimal individualized treatments in resource-limited settings
    • Luedtke AR, van der Laan MJ (2016) Optimal individualized treatments in resource-limited settings. Int J Biostat 12(1):283-303. https://doi.org/10.1515/ijb-2015-0007
    • (2016) Int J Biostat , vol.12 , Issue.1 , pp. 283-303
    • Luedtke, A.R.1    Van Der Laan, M.J.2
  • 62
    • 0036272041 scopus 로고    scopus 로고
    • Contact with mental health and primary care providers before suicide: A review of the evidence
    • Luoma JB, Martin CE, Pearson JL (2002) Contact with mental health and primary care providers before suicide: a review of the evidence. Am J Psychiatry 159(6):909-916. https://doi.org/10.1176/appi.ajp.159.6.909
    • (2002) Am J Psychiatry , vol.159 , Issue.6 , pp. 909-916
    • Luoma, J.B.1    Martin, C.E.2    Pearson, J.L.3
  • 63
    • 85014571344 scopus 로고    scopus 로고
    • Risk estimates and risk factors related to psychiatric inpatient suicide-an overview
    • Madsen T, Erlangsen A, Nordentoft M (2017) Risk estimates and risk factors related to psychiatric inpatient suicide-an overview. Int J Environ Res Public Health 14(3). https://doi.org/10.3390/ijerph14030253
    • (2017) Int J Environ Res Public Health , vol.14 , Issue.3
    • Madsen, T.1    Erlangsen, A.2    Nordentoft, M.3
  • 64
    • 84939166548 scopus 로고    scopus 로고
    • Predictive modeling and concentration of the risk of suicide: Implications for preventive interventions in the US Department of Veterans Affairs
    • McCarthy JF, Bossarte R, Katz IR, Thompson C, Kemp J, Hannemann C et al (2015) Predictive modeling and concentration of the risk of suicide: implications for preventive interventions in the US Department of Veterans Affairs. Am J Pub Health 105(9):1935-1942. https://doi.org/10.2105/AJPH.2015.302737
    • (2015) Am J Pub Health , vol.105 , Issue.9 , pp. 1935-1942
    • McCarthy, J.F.1    Bossarte, R.2    Katz, I.R.3    Thompson, C.4    Kemp, J.5    Hannemann, C.6
  • 65
    • 84997796206 scopus 로고    scopus 로고
    • Improving prediction of suicide and accidental death after discharge from general hospitals with natural language processing
    • McCoy TH Jr, Castro VM, Roberson AM, Snapper LA, Perlis RH (2016) Improving prediction of suicide and accidental death after discharge from general hospitals with natural language processing. JAMA Psychiatry 73(10):1064-1071. https://doi.org/10.1001/jamapsychiatry.2016.2172
    • (2016) JAMA Psychiatry , vol.73 , Issue.10 , pp. 1064-1071
    • McCoy, T.H.1    Castro, V.M.2    Roberson, A.M.3    Snapper, L.A.4    Perlis, R.H.5
  • 66
    • 84991786902 scopus 로고    scopus 로고
    • The futility of risk prediction in psychiatry
    • Mulder R, Newton-Howes G, Coid JW (2016) The futility of risk prediction in psychiatry. Br J Psychiatry 209(4):271-272. https://doi.org/10.1192/bjp.bp.116.184960
    • (2016) Br J Psychiatry , vol.209 , Issue.4 , pp. 271-272
    • Mulder, R.1    Newton-Howes, G.2    Coid, J.W.3
  • 67
    • 0015402618 scopus 로고
    • Clinical identification of suicidal risk
    • Murphy GE (1972) Clinical identification of suicidal risk. Arch Gen Psychiatry 27:356-359
    • (1972) Arch Gen Psychiatry , vol.27 , pp. 356-359
    • Murphy, G.E.1
  • 68
    • 77951229584 scopus 로고    scopus 로고
    • Self-harm in over 8s: Long-term management.//www.nice.org.uk/guidance/cg133. Accessed5 Jan2018 Nock MK, Park JM, Finn CT, Deliberto TL, Dour HJ, Banaji MR (2010) Measuring the suicidal mind: Implicit cognition predicts suicidal behavior
    • National Institute for Health and Care Excellence (NICE) (2011) Self-harm in over 8s: long-term management.//www.nice.org.uk/guidance/cg133. Accessed5 Jan2018 Nock MK, Park JM, Finn CT, Deliberto TL, Dour HJ, Banaji MR (2010) Measuring the suicidal mind: implicit cognition predicts suicidal behavior. Psychol Sci 21(4):511-517. https://doi.org/10.1177/0956797610364762
    • (2011) Psychol Sci , vol.21 , Issue.4 , pp. 511-517
  • 69
    • 84923273237 scopus 로고    scopus 로고
    • Modelling suicide and unemployment: A longitudinal analysis covering 63 countries, 2000-11
    • Nordt C, Warnke I, Seifritz E, Kawohl W (2015) Modelling suicide and unemployment: a longitudinal analysis covering 63 countries, 2000-11. Lancet Psychiatry 2(3):239-245. https://doi.org/10.1016/s2215-0366(14)00118-7
    • (2015) Lancet Psychiatry , vol.2 , Issue.3 , pp. 239-245
    • Nordt, C.1    Warnke, I.2    Seifritz, E.3    Kawohl, W.4
  • 70
    • 84878033937 scopus 로고    scopus 로고
    • Screening for and treatment of suicide risk relevant to primary care: A systematic review for the U.S. Preventive Services Task Force
    • O’Connor E, Gaynes BN, Burda BU, Soh C, Whitlock EP (2013) Screening for and treatment of suicide risk relevant to primary care: a systematic review for the U.S. Preventive Services Task Force. Ann Intern Med 158(10):741-754. https://doi.org/10.7326/0003-4819-158-10-201305210-00642
    • (2013) Ann Intern Med , vol.158 , Issue.10 , pp. 741-754
    • O’Connor, E.1    Gaynes, B.N.2    Burda, B.U.3    Soh, C.4    Whitlock, E.P.5
  • 71
    • 85045515760 scopus 로고    scopus 로고
    • Classification of suicide attempts through a machine learning algorithm based on multiple systemic psychiatric scales
    • Oh J, Yun K, Hwang JH, Chae JH (2017) Classification of suicide attempts through a machine learning algorithm based on multiple systemic psychiatric scales. Front Psych 8:192. https://doi.org/10.3389/fpsyt.2017.00192
    • (2017) Front Psych , vol.8 , pp. 192
    • Oh, J.1    Yun, K.2    Hwang, J.H.3    Chae, J.H.4
  • 72
    • 84896483970 scopus 로고    scopus 로고
    • Focusing suicide prevention on periods of high risk
    • Olfson M, Marcus SC, Bridge JA (2014) Focusing suicide prevention on periods of high risk. JAMA 311(11):1107-1108. https://doi.org/10.1001/jama.2014.501
    • (2014) JAMA , vol.311 , Issue.11 , pp. 1107-1108
    • Olfson, M.1    Marcus, S.C.2    Bridge, J.A.3
  • 74
    • 85020121603 scopus 로고    scopus 로고
    • Predictive properties of risk assessment instruments following selfharm
    • Owens D, Kelley R (2017) Predictive properties of risk assessment instruments following selfharm. Br J Psychiatry 210(6):384-386. https://doi.org/10.1192/bjp.bp.116.196253
    • (2017) Br J Psychiatry , vol.210 , Issue.6 , pp. 384-386
    • Owens, D.1    Kelley, R.2
  • 75
    • 84960395356 scopus 로고    scopus 로고
    • Needs and fears of young people presenting at accident and emergency department following an act of self-harm: Secondary analysis of qualitative data
    • Owens C, Hansford L, Sharkey S, Ford T (2016) Needs and fears of young people presenting at accident and emergency department following an act of self-harm: secondary analysis of qualitative data. Br J Psychiatry 208(3):286-291. https://doi.org/10.1192/bjp.bp.113.141242
    • (2016) Br J Psychiatry , vol.208 , Issue.3 , pp. 286-291
    • Owens, C.1    Hansford, L.2    Sharkey, S.3    Ford, T.4
  • 76
    • 84873131078 scopus 로고    scopus 로고
    • Service users’ experience of emergency services following self harm: A national survey of 509 patients. College Centre for Quality Improvement
    • Accessed 20 Feb 2018
    • Palmer L, Blackwell H, Strevens P (2007) Service users’ experience of emergency services following self harm: a national survey of 509 patients. College Centre for Quality Improvement, Royal College of Psychiatrists. https://www.rcpsych.ac.uk/pdf/National%20SU%20Survey%20Final%20Self%20Harm%20Project.pdf. Accessed 20 Feb 2018
    • (2007) Royal College of Psychiatrists
    • Palmer, L.1    Blackwell, H.2    Strevens, P.3
  • 77
    • 84953455442 scopus 로고    scopus 로고
    • Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach
    • Passos IC, Mwangi B, Cao B, Hamilton JE, Wu MJ, Zhang XY et al (2016) Identifying a clinical signature of suicidality among patients with mood disorders: a pilot study using a machine learning approach. J Affect Disord 193:109-116. https://doi.org/10.1016/j.jad.2015.12.066
    • (2016) J Affect Disord , vol.193 , pp. 109-116
    • Passos, I.C.1    Mwangi, B.2    Cao, B.3    Hamilton, J.E.4    Wu, M.J.5    Zhang, X.Y.6
  • 78
    • 0020742474 scopus 로고
    • Evaluation of suicidal patients: The SAD PERSONS scale
    • 348-349
    • Patterson WM, Dohn HH, Bird J, Patterson GA (1983) Evaluation of suicidal patients: the SAD PERSONS scale. Psychosomatics 24(4):343-345, 348-349. https://doi.org/10.1016/s0033-3182(83)73213-5
    • (1983) Psychosomatics , vol.24 , Issue.4 , pp. 343-345
    • Patterson, W.M.1    Dohn, H.H.2    Bird, J.3    Patterson, G.A.4
  • 79
    • 71049117778 scopus 로고    scopus 로고
    • Primary care contact prior to suicide in individuals with mental illness
    • Pearson A, Saini P, Da Cruz D, Miles C, While D, Swinson N et al (2009) Primary care contact prior to suicide in individuals with mental illness. Br J Gen Pract 59(568):825-832. https://doi.org/10.3399/bjgp09X472881
    • (2009) Br J Gen Pract , vol.59 , Issue.568 , pp. 825-832
    • Pearson, A.1    Saini, P.2    Da Cruz, D.3    Miles, C.4    While, D.5    Swinson, N.6
  • 80
    • 85011841063 scopus 로고    scopus 로고
    • A machine learning approach to identifying the thought markers of suicidal subjects: A prospective multicenter trial
    • Pestian JP, Sorter M, Connolly B, Cohen KB, McCullumsmith C, Gee JT et al (2017) A machine learning approach to identifying the thought markers of suicidal subjects: a prospective multicenter trial. Suicide Life Threat Behav 47(1):112-121. https://doi.org/10.1111/sltb.12312
    • (2017) Suicide Life Threat Behav , vol.47 , Issue.1 , pp. 112-121
    • Pestian, J.P.1    Sorter, M.2    Connolly, B.3    Cohen, K.B.4    McCullumsmith, C.5    Gee, J.T.6
  • 82
    • 84863393105 scopus 로고    scopus 로고
    • The Columbia-Suicide Severity Rating Scale: Initial validity and internal consistency findings from three multisite studies with adolescents and adults
    • Posner K, Brown GK, Stanley B, Brent DA, Yershova KV, Oquendo MA et al (2011) The Columbia-Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults. Am J Psychiatry 168(12):1266-1277. https://doi.org/10.1176/appi.ajp.2011.10111704
    • (2011) Am J Psychiatry , vol.168 , Issue.12 , pp. 1266-1277
    • Posner, K.1    Brown, G.K.2    Stanley, B.3    Brent, D.A.4    Yershova, K.V.5    Oquendo, M.A.6
  • 83
    • 84900300097 scopus 로고    scopus 로고
    • Predicting the risk of suicide by analyzing the text of clinical notes
    • Poulin C, Shiner B, Thompson P, Vepstas L, Young-Xu Y, Goertzel B et al (2014) Predicting the risk of suicide by analyzing the text of clinical notes. PLoS One 9(1):e85733. https://doi.org/10.1371/journal.pone.0085733
    • (2014) Plos One , vol.9 , Issue.1
    • Poulin, C.1    Shiner, B.2    Thompson, P.3    Vepstas, L.4    Young-Xu, Y.5    Goertzel, B.6
  • 84
    • 84899740085 scopus 로고    scopus 로고
    • Scales for predicting risk following self-harm: An observational study in 32 hospitals in England
    • Quinlivan L, Cooper J, Steeg S, Davies L, Hawton K, Gunnell D et al (2014) Scales for predicting risk following self-harm: an observational study in 32 hospitals in England. BMJ Open 4(5):e004732. https://doi.org/10.1136/bmjopen-2013-004732
    • (2014) BMJ Open , vol.4 , Issue.5
    • Quinlivan, L.1    Cooper, J.2    Steeg, S.3    Davies, L.4    Hawton, K.5    Gunnell, D.6
  • 85
    • 84960352101 scopus 로고    scopus 로고
    • Which are the most useful scales for predicting repeat self-harm? A systematic review evaluating risk scales using measures of diagnostic accuracy
    • Quinlivan L, Cooper J, Davies L, Hawton K, Gunnell D, Kapur N (2016) Which are the most useful scales for predicting repeat self-harm? A systematic review evaluating risk scales using measures of diagnostic accuracy. BMJ Open 6(2):e009297. https://doi.org/10.1136/bmjopen-2015-009297
    • (2016) BMJ Open , vol.6 , Issue.2
    • Quinlivan, L.1    Cooper, J.2    Davies, L.3    Hawton, K.4    Gunnell, D.5    Kapur, N.6
  • 86
    • 85020074627 scopus 로고    scopus 로고
    • Predictive accuracy of risk scales following self-harm: Multicentre, prospective cohort study
    • Quinlivan L, Cooper J, Meehan D, Longson D, Potokar J, Hulme T et al (2017) Predictive accuracy of risk scales following self-harm: multicentre, prospective cohort study. Br J Psychiatry 210(6):429-436. https://doi.org/10.1192/bjp.bp.116.189993
    • (2017) Br J Psychiatry , vol.210 , Issue.6 , pp. 429-436
    • Quinlivan, L.1    Cooper, J.2    Meehan, D.3    Longson, D.4    Potokar, J.5    Hulme, T.6
  • 87
    • 84883800517 scopus 로고    scopus 로고
    • Assessment of self-harm risk using implicit thoughts
    • Randall JR, Rowe BH, Dong KA, Nock MK, Colman I (2013) Assessment of self-harm risk using implicit thoughts. Psychol Assess 25(3):714-721. https://doi.org/10.1037/a0032391
    • (2013) Psychol Assess , vol.25 , Issue.3 , pp. 714-721
    • Randall, J.R.1    Rowe, B.H.2    Dong, K.A.3    Nock, M.K.4    Colman, I.5
  • 88
    • 77954207156 scopus 로고    scopus 로고
    • Suicide and hospitalization for mental disorders in Sweden: A population-based case-control study
    • Reutfors J, Brandt L, Ekbom A, Isacsson G, Sparen P, Osby U (2010) Suicide and hospitalization for mental disorders in Sweden: a population-based case-control study. J Psychiatr Res 44(12):741-747. https://doi.org/10.1016/j.jpsychires.2010.02.003
    • (2010) J Psychiatr Res , vol.44 , Issue.12 , pp. 741-747
    • Reutfors, J.1    Brandt, L.2    Ekbom, A.3    Isacsson, G.4    Sparen, P.5    Osby, U.6
  • 89
    • 0000429662 scopus 로고
    • Detection of suicidal patients: An example of some limitations in the prediction of infrequent events
    • Rosen A (1954) Detection of suicidal patients: an example of some limitations in the prediction of infrequent events. J Consult Psychol 18(6):397-403
    • (1954) J Consult Psychol , vol.18 , Issue.6 , pp. 397-403
    • Rosen, A.1
  • 90
    • 84962139960 scopus 로고    scopus 로고
    • Core competencies, warning signs, and a framework for suicide risk assessment in clinical practice
    • Nock MK
    • Rudd MD (2014) Core competencies, warning signs, and a framework for suicide risk assessment in clinical practice. In: Nock MK (ed) The Oxford handbook of suicide and self-injury, 1st edn. Oxford University Press, Cary, pp 323-336. https://doi.org/10.1093/oxfordhb/9780195388565.013.0018
    • (2014) The Oxford Handbook of Suicide and Self-Injury, 1St Edn. Oxford University Press, Cary , pp. 323-336
    • Rudd, M.D.1
  • 91
    • 84928957427 scopus 로고    scopus 로고
    • Brief cognitive-behavioral therapy effects on post-treatment suicide attempts in a military sample: Results of a randomized clinical trial with 2-year follow-up
    • Rudd MD, Bryan CJ, Wertenberger EG, Peterson AL, Young-McCaughan S, Mintz J et al (2015) Brief cognitive-behavioral therapy effects on post-treatment suicide attempts in a military sample: results of a randomized clinical trial with 2-year follow-up. Am J Psychiatry 172(5):441-49. https://doi.org/10.1176/appi.ajp.2014.14070843
    • (2015) Am J Psychiatry , vol.172 , Issue.5 , pp. 441-449
    • Rudd, M.D.1    Bryan, C.J.2    Wertenberger, E.G.3    Peterson, A.L.4    Young-McCaughan, S.5    Mintz, J.6
  • 92
    • 85030428919 scopus 로고    scopus 로고
    • Instruments for the assessment of suicide risk: A systematic review evaluating the certainty of the evidence
    • Runeson B, Odeberg J, Pettersson A, Edbom T, Jildevik Adamsson I, Waern M (2017) Instruments for the assessment of suicide risk: a systematic review evaluating the certainty of the evidence. PLoS One 12(7):e0180292. https://doi.org/10.1371/journal.pone.0180292
    • (2017) Plos One , vol.12 , Issue.7
    • Runeson, B.1    Odeberg, J.2    Pettersson, A.3    Edbom, T.4    Jildevik Adamsson, I.5    Waern, M.6
  • 93
    • 84973100999 scopus 로고    scopus 로고
    • Population-based analysis of health care contacts among suicide decedents: Identifying opportunities for more targeted suicide prevention strategies
    • Schaffer A, Sinyor M, Kurdyak P, Vigod S, Sareen J, Reis Cetal (2016) Population-based analysis of health care contacts among suicide decedents: identifying opportunities for more targeted suicide prevention strategies. World Psychiatry 15(2):135-145. https://doi.org/10.1002/wps.20321
    • (2016) World Psychiatry , vol.15 , Issue.2 , pp. 135-145
    • Schaffer, A.1    Sinyor, M.2    Kurdyak, P.3    Vigod, S.4    Sareen, J.5    Cetal, R.6
  • 94
    • 84938697857 scopus 로고    scopus 로고
    • The American Psychiatric Association practice guidelines for the psychiatric evaluation of adults
    • Silverman JJ, Galanter M, Jackson-Triche M, Jacobs DG, Lomax JW, Riba MB et al (2015) The American Psychiatric Association practice guidelines for the psychiatric evaluation of adults. Am J Psychiatry 172(8):798-802. https://doi.org/10.1176/appi.ajp.2015.1720501
    • (2015) Am J Psychiatry , vol.172 , Issue.8 , pp. 798-802
    • Silverman, J.J.1    Galanter, M.2    Jackson-Triche, M.3    Jacobs, D.G.4    Lomax, J.W.5    Riba, M.B.6
  • 95
    • 84888882077 scopus 로고    scopus 로고
    • Does response on the PHQ-9 Depression Questionnaire predict subsequent suicide attempt or suicide death?
    • Simon GE, Rutter CM, Peterson D, Oliver M, Whiteside U, Operskalski B et al (2013) Does response on the PHQ-9 Depression Questionnaire predict subsequent suicide attempt or suicide death? Psychiatr Serv 64(12):1195-1202. https://doi.org/10.1176/appi.ps.201200587
    • (2013) Psychiatr Serv , vol.64 , Issue.12 , pp. 1195-1202
    • Simon, G.E.1    Rutter, C.M.2    Peterson, D.3    Oliver, M.4    Whiteside, U.5    Operskalski, B.6
  • 96
    • 84897424210 scopus 로고    scopus 로고
    • The Repeated Episodes of Self-Harm (RESH) score: A tool for predicting risk of future episodes of self-harm by hospital patients
    • Spittal MJ, Pirkis J, Miller M, Carter G, Studdert DM (2014) The Repeated Episodes of Self-Harm (RESH) score: a tool for predicting risk of future episodes of self-harm by hospital patients. J Affect Disord 161:3642. https://doi.org/10.1016/jjad.2014.02.032
    • (2014) J Affect Disord , vol.161 , pp. 3642
    • Spittal, M.J.1    Pirkis, J.2    Miller, M.3    Carter, G.4    Studdert, D.M.5
  • 97
    • 84864537746 scopus 로고    scopus 로고
    • The development of a population-level clinical screening tool for self-harm repetition and suicide: The ReACT self-harm rule
    • Steeg S, Kapur N, Webb R, Applegate E, Stewart SL, Hawton K et al (2012) The development of a population-level clinical screening tool for self-harm repetition and suicide: the ReACT self-harm rule. Psychol Med 42(11):2383-2394. https://doi.org/10.1017/s0033291712000347
    • (2012) Psychol Med , vol.42 , Issue.11 , pp. 2383-2394
    • Steeg, S.1    Kapur, N.2    Webb, R.3    Applegate, E.4    Stewart, S.L.5    Hawton, K.6
  • 98
    • 84960377418 scopus 로고    scopus 로고
    • Combining the Suicide Intent Scale and the Karolinska Interactive Violence Scale in suicide risk assessments
    • Stefansson J, Nordstrom P, Runeson B, Asberg M, Jokinen J (2015) Combining the Suicide Intent Scale and the Karolinska Interactive Violence Scale in suicide risk assessments. BMC Psychiatry 15:226. https://doi.org/10.1186/s12888-015-0607-6
    • (2015) BMC Psychiatry , vol.15 , pp. 226
    • Stefansson, J.1    Nordstrom, P.2    Runeson, B.3    Asberg, M.4    Jokinen, J.5
  • 100
    • 60149087756 scopus 로고    scopus 로고
    • Attitudes towards clinical services among people who self-harm: Systematic review
    • Taylor TL, Hawton K, Fortune S, Kapur N (2009) Attitudes towards clinical services among people who self-harm: systematic review. Br J Psychiatry 194(2):104-110. https://doi.org/10.1192/bjp.bp.107.046425
    • (2009) Br J Psychiatry , vol.194 , Issue.2 , pp. 104-110
    • Taylor, T.L.1    Hawton, K.2    Fortune, S.3    Kapur, N.4
  • 101
    • 84899564545 scopus 로고    scopus 로고
    • Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments
    • Tran T, Luo W, Phung D, Harvey R, Berk M, Kennedy RL et al (2014) Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments. BMC Psychiatry 14:76. https://doi.org/10.1186/1471-244x-14-76
    • (2014) BMC Psychiatry , vol.14 , pp. 76
    • Tran, T.1    Luo, W.2    Phung, D.3    Harvey, R.4    Berk, M.5    Kennedy, R.L.6
  • 102
    • 67649661825 scopus 로고    scopus 로고
    • Making trials matter: Pragmatic and explanatory trials and the problem of applicability
    • Treweek S, Zwarenstein M (2009) Making trials matter: pragmatic and explanatory trials and the problem of applicability. Trials 10:37. https://doi.org/10.1186/1745-6215-10-37
    • (2009) Trials , vol.10 , pp. 37
    • Treweek, S.1    Zwarenstein, M.2
  • 105
    • 85064371411 scopus 로고    scopus 로고
    • VA REACH VET initiative helps save veterans lives: Program signals when more help is needed for at-risk veterans. U.S
    • Accessed 12 May 2017
    • VA Office of Public and Intergovernmental Affairs (2017) VA REACH VET initiative helps save veterans lives: program signals when more help is needed for at-risk veterans. U.S. Department of Veterans Affairs. https://www.va.gov/opa/pressrel/pressrelease.cfm?id=2878. Accessed 12 May 2017
    • (2017) Department of Veterans Affairs
  • 106
    • 85019961026 scopus 로고    scopus 로고
    • Digital suicide prevention: Can technology become a game-changer?
    • Vahabzadeh A, Sahin N, Kalali A (2016) Digital suicide prevention: can technology become a game-changer? Innov Clin Neurosci 13(5-6):16-20
    • (2016) Innov Clin Neurosci , vol.13 , Issue.5-6 , pp. 16-20
    • Vahabzadeh, A.1    Sahin, N.2    Kalali, A.3
  • 108
    • 84946925674 scopus 로고    scopus 로고
    • Bias-reduced doubly robust estimation
    • Vermeulen K, Vansteelandt S (2015) Bias-reduced doubly robust estimation. J Am Stat Assoc 110(511):1024-1036. https://doi.org/10.1080/01621459.2014.958155
    • (2015) J am Stat Assoc , vol.110 , Issue.511 , pp. 1024-1036
    • Vermeulen, K.1    Vansteelandt, S.2
  • 109
    • 84922657552 scopus 로고    scopus 로고
    • Meta-analysis of suicide rates among psychiatric in-patients
    • Walsh G, Sara G, Ryan CJ, Large M (2015) Meta-analysis of suicide rates among psychiatric in-patients. Acta Psychiatr Scand 131(3):174-184. https://doi.org/10.1111/acps.12383
    • (2015) Acta Psychiatr Scand , vol.131 , Issue.3 , pp. 174-184
    • Walsh, G.1    Sara, G.2    Ryan, C.J.3    Large, M.4
  • 110
    • 85019953955 scopus 로고    scopus 로고
    • Predicting risk of suicide attempts over time through machine learning
    • Walsh CG, Ribeiro JD, Franklin JC (2017) Predicting risk of suicide attempts over time through machine learning. Clin Psychol Sci 5(3):457-469. https://doi.org/10.1177/2167702617691560
    • (2017) Clin Psychol Sci , vol.5 , Issue.3 , pp. 457-469
    • Walsh, C.G.1    Ribeiro, J.D.2    Franklin, J.C.3
  • 111
    • 84979659188 scopus 로고    scopus 로고
    • Ketamine: A potential rapid-acting antisuicidal agent?
    • Wilkinson ST, Sanacora G (2016) Ketamine: a potential rapid-acting antisuicidal agent? Depress Anxiety 33(8):711-717. https://doi.org/10.1002/da.22498
    • (2016) Depress Anxiety , vol.33 , Issue.8 , pp. 711-717
    • Wilkinson, S.T.1    Sanacora, G.2
  • 112
    • 85049514538 scopus 로고    scopus 로고
    • Accuracy of clinician predictions of future self-harm: A systematic review and meta-analysis of predictive studies
    • Woodford R, Spittal MJ, Milner A, McGill K, Kapur N, Pirkis J et al (2017) Accuracy of clinician predictions of future self-harm: a systematic review and meta-analysis of predictive studies. Suicide Life Threat Behav. https://doi.org/10.1111/sltb.12395
    • (2017) Suicide Life Threat Behav
    • Woodford, R.1    Spittal, M.J.2    Milner, A.3    McGill, K.4    Kapur, N.5    Pirkis, J.6
  • 113
    • 84964304691 scopus 로고    scopus 로고
    • Accessed 20 Feb2 018
    • World Health Organization (WHO) (2018a) Mental health: suicide data. http://www.who.int/mental_health/prevention/suicide/suicideprevent/en/. Accessed 20 Feb2 018
    • (2018) Mental Health: Suicide Data
  • 114
    • 85064369750 scopus 로고    scopus 로고
    • Age-standardized suicide rates (Per 100 000 population), 2015
    • Accessed 03 Mar2018
    • World Health Organization (WHO) (2018b) Age-standardized suicide rates (per 100 000 population), 2015. Global Health Observatory (GHO) data. http://www.who.int/gho/mental_health/suicide_rates/en/. Accessed 03 Mar2018
    • (2018) Global Health Observatory (GHO) Data


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.