메뉴 건너뛰기




Volumn 18, Issue SUPPL. 1, 2011, Pages 109-115

Exploiting time in electronic health record correlations

Author keywords

[No Author keywords available]

Indexed keywords

POTASSIUM; SPIRONOLACTONE;

EID: 84865293383     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000463     Document Type: Article
Times cited : (54)

References (44)
  • 1
    • 77955295667 scopus 로고    scopus 로고
    • The."meaningful use" regulation for electronic health records
    • Blumenthal D, Tavenner M. The "meaningful use" regulation for electronic health records. N Engl J Med 2010;363:501-4.
    • (2010) N Engl J Med , vol.363 , pp. 501-504
    • Blumenthal, D.1    Tavenner, M.2
  • 3
    • 0343952984 scopus 로고    scopus 로고
    • Intelligent analysis of clinical time series: an application in the diabetes mellitus domain
    • Bellazzi R, Larizza C, Magni P, et al. Intelligent analysis of clinical time series: an application in the diabetes mellitus domain. Artif Intell Med 2000;20:37-57.
    • (2000) Artif Intell Med , vol.20 , pp. 37-57
    • Bellazzi, R.1    Larizza, C.2    Magni, P.3
  • 4
    • 34548083516 scopus 로고    scopus 로고
    • Data mining with temporal abstractions: learning rules from time series
    • Sacchi L, Larizza C, Combi C, et al. Data mining with temporal abstractions: learning rules from time series. Data Min Knowl Discov 2007;15:217-47.
    • (2007) Data Min Knowl Discov , vol.15 , pp. 217-247
    • Sacchi, L.1    Larizza, C.2    Combi, C.3
  • 5
    • 0020849266 scopus 로고
    • Maintaining knowledge about temporal intervals. Commun
    • Allen JF. Maintaining knowledge about temporal intervals. Commun ACM 1983;26:832-43.
    • (1983) ACM , vol.26 , pp. 832-843
    • Allen, J.F.1
  • 6
    • 79953771749 scopus 로고    scopus 로고
    • Temporal data mining for the assessment of the costs related to diabetes mellitus pharmacological treatment
    • Concaro S, Sacchi L, Cerra C, et al. Temporal data mining for the assessment of the costs related to diabetes mellitus pharmacological treatment. AMIA Annu Symp Proc 2009;2009:119-23.
    • (2009) AMIA Annu Symp Proc , vol.2009 , pp. 119-123
    • Concaro, S.1    Sacchi, L.2    Cerra, C.3
  • 7
    • 77950976304 scopus 로고    scopus 로고
    • Methods and tools for mining multivariate temporal data in clinical and biomedical applications
    • Bellazzi R, Sacchi L, Concaro S. Methods and tools for mining multivariate temporal data in clinical and biomedical applications. Conf Proc IEEE Eng Med Biol Soc 2009;2009:5629-32.
    • (2009) Conf Proc IEEE Eng Med Biol Soc , vol.2009 , pp. 5629-5632
    • Bellazzi, R.1    Sacchi, L.2    Concaro, S.3
  • 8
    • 79953799810 scopus 로고    scopus 로고
    • A temporal abstraction framework for classifying clinical temporal data
    • Batal I, Sacchi L, Bellazzi R, et al. A temporal abstraction framework for classifying clinical temporal data. AMIA Annu Symp Proc 2009;2009:29-33.
    • (2009) AMIA Annu Symp Proc , vol.2009 , pp. 29-33
    • Batal, I.1    Sacchi, L.2    Bellazzi, R.3
  • 9
    • 48449095979 scopus 로고    scopus 로고
    • Mining unexpected temporal associations: applications in detecting adverse drug reactions
    • Jin HW, Chen J, He H, et al. Mining unexpected temporal associations: applications in detecting adverse drug reactions. IEEE Trans Inf Technol Biomed 2008;12:488-500.
    • (2008) IEEE Trans Inf Technol Biomed , vol.12 , pp. 488-500
    • Jin, H.W.1    Chen, J.2    He, H.3
  • 10
    • 34250202878 scopus 로고    scopus 로고
    • ARMADAdan algorithm for discovering richer relative temporal association rules from interval-based data
    • Winarko E, Roddick JF. ARMADAdan algorithm for discovering richer relative temporal association rules from interval-based data. Data Knowl Eng 2007;63:76-90.
    • (2007) Data Knowl Eng , vol.63 , pp. 76-90
    • Winarko, E.1    Roddick, J.F.2
  • 11
    • 0031069719 scopus 로고    scopus 로고
    • A framework for knowledge-based temporal abstraction
    • Shahar Y. A framework for knowledge-based temporal abstraction. Artif Intell 1997;90:79-133.
    • (1997) Artif Intell , vol.90 , pp. 79-133
    • Shahar, Y.1
  • 12
    • 0030200817 scopus 로고    scopus 로고
    • Knowledge-based temporal abstraction in clinical domains
    • Shahar Y, Musen MA. Knowledge-based temporal abstraction in clinical domains. Artif Intell Med 1996;8:267-98.
    • (1996) Artif Intell Med , vol.8 , pp. 267-298
    • Shahar, Y.1    Musen, M.A.2
  • 13
    • 79953787924 scopus 로고    scopus 로고
    • Medical temporal-knowledge discovery via temporal abstraction
    • Moskovitch R, Shahar Y. Medical temporal-knowledge discovery via temporal abstraction. AMIA Annu Symp Proc 2009;2009:452-6.
    • (2009) AMIA Annu Symp Proc , vol.2009 , pp. 452-456
    • Moskovitch, R.1    Shahar, Y.2
  • 14
    • 77951633813 scopus 로고    scopus 로고
    • Intelligent visualization and exploration of time-oriented data of multiple patients
    • Klimov D, Shahar Y, Taieb-Maimon M. Intelligent visualization and exploration of time-oriented data of multiple patients. Artif Intell Med 2010;49:11-31.
    • (2010) Artif Intell Med , vol.49 , pp. 11-31
    • Klimov, D.1    Shahar, Y.2    Taieb-Maimon, M.3
  • 15
    • 36049045495 scopus 로고    scopus 로고
    • Knowledge construction from time series data using a collaborative exploration system
    • Guyet T, Garbay C, Dojat M. Knowledge construction from time series data using a collaborative exploration system. J Biomed Inform 2007;40:672-87.
    • (2007) J Biomed Inform , vol.40 , pp. 672-687
    • Guyet, T.1    Garbay, C.2    Dojat, M.3
  • 18
    • 56349168101 scopus 로고    scopus 로고
    • A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients
    • Charitos T, van der Gaag L, Visscher S, et al. A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Syst Appl 2009;36:1249-58.
    • (2009) Expert Syst Appl , vol.36 , pp. 1249-1258
    • Charitos, T.1    van der Gaag, L.2    Visscher, S.3
  • 19
    • 46649093156 scopus 로고    scopus 로고
    • Dynamic Bayesian networks as prognostic models for clinical patient management
    • van Gerven M, Taal B, Lucas P. Dynamic Bayesian networks as prognostic models for clinical patient management. J Biomed Inform 2008;41:515-29.
    • (2008) J Biomed Inform , vol.41 , pp. 515-529
    • van Gerven, M.1    Taal, B.2    Lucas, P.3
  • 20
    • 84964969871 scopus 로고    scopus 로고
    • Modeling glucose homeostasis and insulin dosing in an intensive care unit using dynamic bayesian networks
    • Nachimuthu SK, Wong A, Haug PJ. Modeling glucose homeostasis and insulin dosing in an intensive care unit using dynamic bayesian networks. AMIA Annu Symp Proc 2010;2010:532-6.
    • (2010) AMIA Annu Symp Proc , vol.2010 , pp. 532-536
    • Nachimuthu, S.K.1    Wong, A.2    Haug, P.J.3
  • 21
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • Granger CW. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 1969;37:424-38.
    • (1969) Econometrica , vol.37 , pp. 424-438
    • Granger, C.W.1
  • 22
    • 0035433274 scopus 로고    scopus 로고
    • Evaluating causal relations in neural systems: granger causality, directed transfer function and statistical assessment of significance
    • Kaminski M, Ding M, Truccolo WA, et al. Evaluating causal relations in neural systems: granger causality, directed transfer function and statistical assessment of significance. Biol Cybern 2001;85:145-57.
    • (2001) Biol Cybern , vol.85 , pp. 145-157
    • Kaminski, M.1    Ding, M.2    Truccolo, W.A.3
  • 23
    • 80053160910 scopus 로고    scopus 로고
    • Proceedings of the 25th Conference on Uncertainty in Articial Intelligence (UAI-09); Corvallis: Oregon
    • Kleinberg S, Mishra B. The temporal logic of causal structures. Proceedings of the 25th Conference on Uncertainty in Articial Intelligence (UAI-09); Corvallis: Oregon, 2009:303-12.
    • (2009) The temporal logic of causal structures , pp. 303-312
    • Kleinberg, S.1    Mishra, B.2
  • 24
    • 84855929161 scopus 로고    scopus 로고
    • Multiple testing of causal hypotheses
    • Illari PM, Russo F, Williamson J, eds Oxford: Oxford University Press
    • Kleinberg S, Mishra B. Multiple testing of causal hypotheses. In: Illari PM, Russo F, Williamson J, eds. Causality in the Sciences. Oxford: Oxford University Press, 2011.
    • (2011) Causality in the Sciences
    • Kleinberg, S.1    Mishra, B.2
  • 26
    • 53749091688 scopus 로고    scopus 로고
    • Use of heart rate variability analysis to determine the risk of cardiac ischaemia in high-risk patients undergoing general anaesthesia
    • Hanss R, Block D, Bauer M, et al. Use of heart rate variability analysis to determine the risk of cardiac ischaemia in high-risk patients undergoing general anaesthesia. Anaesthesia 2008;63:1167-73.
    • (2008) Anaesthesia , vol.63 , pp. 1167-1173
    • Hanss, R.1    Block, D.2    Bauer, M.3
  • 27
    • 56549097295 scopus 로고    scopus 로고
    • Breathing variability at rest is positively associated with 24-h blood pressure level
    • Anderson DE, McNeely JD, Chesney MA, et al. Breathing variability at rest is positively associated with 24-h blood pressure level. Am J Hypertens 2008;21:1324-9.
    • (2008) Am J Hypertens , vol.21 , pp. 1324-1329
    • Anderson, D.E.1    McNeely, J.D.2    Chesney, M.A.3
  • 28
    • 54749134287 scopus 로고    scopus 로고
    • Continuous glucose monitoring time series and hypo/hyperglycemia prevention: requirements, methods, open problems
    • Sparacino G, Facchinetti A, Maran A, et al. Continuous glucose monitoring time series and hypo/hyperglycemia prevention: requirements, methods, open problems. Curr Diabetes Rev 2008;4:181-92.
    • (2008) Curr Diabetes Rev , vol.4 , pp. 181-192
    • Sparacino, G.1    Facchinetti, A.2    Maran, A.3
  • 29
    • 65349143362 scopus 로고    scopus 로고
    • Prediction of chronic obstructive pulmonary disease (COPD) in asthma patients using electronic medical records
    • Himes BE, Dai Y, Kohane IS, et al. Prediction of chronic obstructive pulmonary disease (COPD) in asthma patients using electronic medical records. J Am Med Inform Assoc 2009;16:371-9.
    • (2009) J Am Med Inform Assoc , vol.16 , pp. 371-379
    • Himes, B.E.1    Dai, Y.2    Kohane, I.S.3
  • 30
    • 77956642489 scopus 로고    scopus 로고
    • Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis
    • Cohen MJ, Grossman AD, Morabito D, et al. Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis. Crit Care 2010;14:R10.
    • (2010) Crit Care , vol.14
    • Cohen, M.J.1    Grossman, A.D.2    Morabito, D.3
  • 31
    • 56149101531 scopus 로고    scopus 로고
    • Clinical arrays of laboratory measures, or "clinarrays", built from an electronic health record enable disease subtyping by severity
    • Chen DP, Weber SC, Constantinou PS, et al. Clinical arrays of laboratory measures, or "clinarrays", built from an electronic health record enable disease subtyping by severity. AMIA Annu Symp Proc 2007:115-19.
    • (2007) AMIA Annu Symp Proc , pp. 115-119
    • Chen, D.P.1    Weber, S.C.2    Constantinou, P.S.3
  • 32
    • 65349157361 scopus 로고    scopus 로고
    • Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study
    • Wang X, Hripcsak G, Markatou M, et al. Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study. J Am Med Inform Assoc 2009;16:328-37.
    • (2009) J Am Med Inform Assoc , vol.16 , pp. 328-337
    • Wang, X.1    Hripcsak, G.2    Markatou, M.3
  • 33
    • 77649248778 scopus 로고    scopus 로고
    • Rapid identification of myocardial infarction risk associated with diabetes medications using electronic medical records
    • Brownstein JS, Murphy SN, Goldfine AB, et al. Rapid identification of myocardial infarction risk associated with diabetes medications using electronic medical records. Diabetes Care 2010;33:526-31.
    • (2010) Diabetes Care , vol.33 , pp. 526-531
    • Brownstein, J.S.1    Murphy, S.N.2    Goldfine, A.B.3
  • 34
    • 78049466272 scopus 로고    scopus 로고
    • Latent physiological factors of complex human diseases revealed by independent component analysis of clinarrays
    • Chen DP, Dudley JT, Butte AJ. Latent physiological factors of complex human diseases revealed by independent component analysis of clinarrays. BMC Bioinformatics 2010;11 Suppl 9:S4.
    • (2010) BMC Bioinformatics , vol.11 , Issue.SUPPL. 9
    • Chen, D.P.1    Dudley, J.T.2    Butte, A.J.3
  • 36
    • 56149095669 scopus 로고    scopus 로고
    • Signout: a collaborative document with implications for the future of clinical information systems
    • Stein DM, Wrenn JO, Johnson SB, et al. Signout: a collaborative document with implications for the future of clinical information systems. AMIA Annu Symp Proc 2007:696-700.
    • (2007) AMIA Annu Symp Proc , pp. 696-700
    • Stein, D.M.1    Wrenn, J.O.2    Johnson, S.B.3
  • 37
    • 34948878001 scopus 로고    scopus 로고
    • Mechanism of hypokalemia in magnesium deficiency
    • Huang CL, Kuo E. Mechanism of hypokalemia in magnesium deficiency. J Am Soc Nephrol 2007;18:2649-52.
    • (2007) J Am Soc Nephrol , vol.18 , pp. 2649-2652
    • Huang, C.L.1    Kuo, E.2
  • 38
    • 0021161493 scopus 로고
    • Clinical aspects and pathophysiology of diuretic-induced hyponatremia
    • Abramow M, Cogan E. Clinical aspects and pathophysiology of diuretic-induced hyponatremia. Adv Nephrol Necker Hosp 1984;13:1-28.
    • (1984) Adv Nephrol Necker Hosp , vol.13 , pp. 1-28
    • Abramow, M.1    Cogan, E.2
  • 39
    • 4344600703 scopus 로고    scopus 로고
    • Usefulness of spironolactone in a specialized heart failure clinic
    • Sligl W, McAlister FA, Ezekowitz J, et al. Usefulness of spironolactone in a specialized heart failure clinic. Am J Cardiol 2004;94:443-7.
    • (2004) Am J Cardiol , vol.94 , pp. 443-447
    • Sligl, W.1    McAlister, F.A.2    Ezekowitz, J.3
  • 41
    • 84866514127 scopus 로고    scopus 로고
    • Causal discovery using a Bayesian local causal discovery algorithm
    • Mani S, Cooper G. Causal discovery using a Bayesian local causal discovery algorithm. Stud Health Technol Inform 2004;107:731-5.
    • (2004) Stud Health Technol Inform , vol.107 , pp. 731-735
    • Mani, S.1    Cooper, G.2
  • 42
    • 0036082141 scopus 로고    scopus 로고
    • Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports
    • Hripcsak G, Austin JH, Alderson PO, et al. Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports. Radiology 2002;224:157-63.
    • (2002) Radiology , vol.224 , pp. 157-163
    • Hripcsak, G.1    Austin, J.H.2    Alderson, P.O.3
  • 43
    • 65349112142 scopus 로고    scopus 로고
    • Syndromic surveillance using ambulatory electronic health records
    • Hripcsak G, Soulakis ND, Li L, et al. Syndromic surveillance using ambulatory electronic health records. J Am Med Inform Assoc 2009;16:354-61.
    • (2009) J Am Med Inform Assoc , vol.16 , pp. 354-361
    • Hripcsak, G.1    Soulakis, N.D.2    Li, L.3
  • 44
    • 74249085955 scopus 로고    scopus 로고
    • A statistical dynamics approach to the study of human health data: resolving population scale diurnal variation in laboratory data
    • Albers DJ, Hripcsak G. A statistical dynamics approach to the study of human health data: resolving population scale diurnal variation in laboratory data. Phys Lett A 2010;374:1159-64.
    • (2010) Phys Lett A , vol.374 , pp. 1159-1164
    • Albers, D.J.1    Hripcsak, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.