메뉴 건너뛰기




Volumn 69, Issue , 2017, Pages 55-62

NegAIT: A new parser for medical text simplification using morphological, sentential and double negation

Author keywords

Health literacy; Negation; NLP; Readability; Text simplification

Indexed keywords

BINARY TREES; CLASSIFICATION (OF INFORMATION); DECISION TREES; MEDICAL APPLICATIONS; PREDICTIVE ANALYTICS; SODIUM;

EID: 85016487612     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2017.03.014     Document Type: Article
Times cited : (25)

References (58)
  • 2
    • 0031985505 scopus 로고    scopus 로고
    • Relationship of functional health literacy to patients' knowledge of their chronic disease: a study of patients with hypertension and diabetes
    • [2] Williams, M.V., et al. Relationship of functional health literacy to patients' knowledge of their chronic disease: a study of patients with hypertension and diabetes. Arch. Inter. Med. 158:2 (1998), 166–172.
    • (1998) Arch. Inter. Med. , vol.158 , Issue.2 , pp. 166-172
    • Williams, M.V.1
  • 3
    • 0037166986 scopus 로고    scopus 로고
    • Association of health literacy with diabetes outcomes
    • [3] Schillinger, D., et al. Association of health literacy with diabetes outcomes. Jama 288:4 (2002), 475–482.
    • (2002) Jama , vol.288 , Issue.4 , pp. 475-482
    • Schillinger, D.1
  • 4
    • 0037434079 scopus 로고    scopus 로고
    • Closing the loop: physician communication with diabetic patients who have low health literacy
    • [4] Schillinger, D., et al. Closing the loop: physician communication with diabetic patients who have low health literacy. Arch. Inter. Med. 163:1 (2003), 83–90.
    • (2003) Arch. Inter. Med. , vol.163 , Issue.1 , pp. 83-90
    • Schillinger, D.1
  • 5
    • 0031759036 scopus 로고    scopus 로고
    • Inadequate literacy is a barrier to asthma knowledge and self-care
    • [5] Williams, M.V., et al. Inadequate literacy is a barrier to asthma knowledge and self-care. Chest J. 114:4 (1998), 1008–1015.
    • (1998) Chest J. , vol.114 , Issue.4 , pp. 1008-1015
    • Williams, M.V.1
  • 6
    • 84906842332 scopus 로고    scopus 로고
    • Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis
    • [6] Langebeek, N., et al. Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Med., 12(1), 2014, 142.
    • (2014) BMC Med. , vol.12 , Issue.1 , pp. 142
    • Langebeek, N.1
  • 7
    • 79551701413 scopus 로고    scopus 로고
    • Health literacy challenges and strategies
    • [7] Egbert, N., Nanna, K.M., Health literacy challenges and strategies. Online J. Issues Nurs., 14(3), 2009.
    • (2009) Online J. Issues Nurs. , vol.14 , Issue.3
    • Egbert, N.1    Nanna, K.M.2
  • 9
    • 36549076827 scopus 로고    scopus 로고
    • Committee on Health Literacy. Health Literacy: A Prescription to End Confusion, 2004
    • The National Academies Press
    • [9] Nielsen-Bohlman, L., Panzer, A.M., Kindig, D.A., Committee on Health Literacy. Health Literacy: A Prescription to End Confusion, 2004. 2006, The National Academies Press.
    • (2006)
    • Nielsen-Bohlman, L.1    Panzer, A.M.2    Kindig, D.A.3
  • 10
    • 0028916609 scopus 로고
    • Doctor-patient communication: a review of the literature
    • [10] Ong, L.M., et al. Doctor-patient communication: a review of the literature. Soc. Sci. Med. 40:7 (1995), 903–918.
    • (1995) Soc. Sci. Med. , vol.40 , Issue.7 , pp. 903-918
    • Ong, L.M.1
  • 11
    • 68249138773 scopus 로고    scopus 로고
    • Physician communication and patient adherence to treatment: a meta-analysis
    • [11] Zolnierek, K.B.H., DiMatteo, M.R., Physician communication and patient adherence to treatment: a meta-analysis. Med. Care, 47(8), 2009, 826.
    • (2009) Med. Care , vol.47 , Issue.8 , pp. 826
    • Zolnierek, K.B.H.1    DiMatteo, M.R.2
  • 12
    • 84921715840 scopus 로고    scopus 로고
    • How (not) to inform patients about drug use: use and effects of negations in Dutch patient information leaflets
    • [12] Burgers, C., et al. How (not) to inform patients about drug use: use and effects of negations in Dutch patient information leaflets. Pharmacoepidemiol. Drug Safety 24:2 (2015), 137–143.
    • (2015) Pharmacoepidemiol. Drug Safety , vol.24 , Issue.2 , pp. 137-143
    • Burgers, C.1
  • 13
    • 84880042228 scopus 로고    scopus 로고
    • A user-study measuring the effects of lexical simplification and coherence enhancement on perceived and actual text difficulty
    • [13] Leroy, G., Kauchak, D., Mouradi, O., A user-study measuring the effects of lexical simplification and coherence enhancement on perceived and actual text difficulty. Int. J. Med. Inform. 82:8 (2013), 717–730.
    • (2013) Int. J. Med. Inform. , vol.82 , Issue.8 , pp. 717-730
    • Leroy, G.1    Kauchak, D.2    Mouradi, O.3
  • 14
    • 84868215013 scopus 로고    scopus 로고
    • How the doc should (not) talk: when breaking bad news with negations influences patients’ immediate responses and medical adherence intentions
    • [14] Burgers, C., Beukeboom, C.J., Sparks, L., How the doc should (not) talk: when breaking bad news with negations influences patients’ immediate responses and medical adherence intentions. Patient Educ. Counsel. 89:2 (2012), 267–273.
    • (2012) Patient Educ. Counsel. , vol.89 , Issue.2 , pp. 267-273
    • Burgers, C.1    Beukeboom, C.J.2    Sparks, L.3
  • 15
    • 84893570709 scopus 로고    scopus 로고
    • The effect of word familiarity on actual and perceived text difficulty
    • [15] Leroy, G., Kauchak, D., The effect of word familiarity on actual and perceived text difficulty. J. Am. Med. Inform. Assoc. 21:e1 (2014), e169–e172.
    • (2014) J. Am. Med. Inform. Assoc. , vol.21 , Issue.e1 , pp. e169-e172
    • Leroy, G.1    Kauchak, D.2
  • 16
    • 69249221363 scopus 로고    scopus 로고
    • The effect of physician–patient collaboration on patient adherence in non-psychiatric medicine
    • [16] Arbuthnott, A., Sharpe, D., The effect of physician–patient collaboration on patient adherence in non-psychiatric medicine. Patient Educ. Counsel. 77:1 (2009), 60–67.
    • (2009) Patient Educ. Counsel. , vol.77 , Issue.1 , pp. 60-67
    • Arbuthnott, A.1    Sharpe, D.2
  • 17
    • 84902295430 scopus 로고    scopus 로고
    • Text simplification tools: using machine learning to discover features that identify difficult text
    • IEEE
    • [17] Kauchak, D., et al. Text simplification tools: using machine learning to discover features that identify difficult text. 2014 47th Hawaii International Conference on System Sciences, 2014, IEEE.
    • (2014) 2014 47th Hawaii International Conference on System Sciences
    • Kauchak, D.1
  • 18
    • 45749156815 scopus 로고    scopus 로고
    • Using plain language skills to create an educational brochure about sperm banking for adolescent and young adult males with cancer
    • [18] Nagel, K., et al. Using plain language skills to create an educational brochure about sperm banking for adolescent and young adult males with cancer. J. Pediatric Oncol. Nurs. 25:4 (2008), 220–226.
    • (2008) J. Pediatric Oncol. Nurs. , vol.25 , Issue.4 , pp. 220-226
    • Nagel, K.1
  • 19
    • 84959299805 scopus 로고    scopus 로고
    • Data management in clinical research: synthesizing stakeholder perspectives
    • [19] Johnson, S.B., et al. Data management in clinical research: synthesizing stakeholder perspectives. J. Biomed. Inform. 60 (2016), 286–293.
    • (2016) J. Biomed. Inform. , vol.60 , pp. 286-293
    • Johnson, S.B.1
  • 20
    • 84963569397 scopus 로고    scopus 로고
    • Classification of clinically useful sentences in clinical evidence resources
    • [20] Morid, M.A., et al. Classification of clinically useful sentences in clinical evidence resources. J. Biomed. Inform. 60 (2016), 14–22.
    • (2016) J. Biomed. Inform. , vol.60 , pp. 14-22
    • Morid, M.A.1
  • 21
    • 85016489133 scopus 로고    scopus 로고
    • L.B.C.C. Writing Clear Sentences: Avoiding Negative Sentence
    • [21] Writing and Reading Success Center, L.B.C.C. Writing Clear Sentences: Avoiding Negative Sentence, 2014. < http://www.lbcc.edu/WRSC/SentenceRevision.cfm>.
    • (2014)
  • 22
    • 56749106400 scopus 로고    scopus 로고
    • Negative and affirmative sentences increase activation in different areas in the brain
    • [22] Christensen, K.R., Negative and affirmative sentences increase activation in different areas in the brain. J. Neurolinguist. 22:1 (2009), 1–17.
    • (2009) J. Neurolinguist. , vol.22 , Issue.1 , pp. 1-17
    • Christensen, K.R.1
  • 23
    • 0035714062 scopus 로고    scopus 로고
    • Negation and its impact on the accessibility of text information
    • [23] Kaup, B., Negation and its impact on the accessibility of text information. Memory Cogn. 29:7 (2001), 960–967.
    • (2001) Memory Cogn. , vol.29 , Issue.7 , pp. 960-967
    • Kaup, B.1
  • 24
    • 33646339379 scopus 로고    scopus 로고
    • Processing negated sentences with contradictory predicates: is a door that is not open mentally closed?
    • [24] Kaup, B., Lüdtke, J., Zwaan, R.A., Processing negated sentences with contradictory predicates: is a door that is not open mentally closed?. J. Pragmat. 38:7 (2006), 1033–1050.
    • (2006) J. Pragmat. , vol.38 , Issue.7 , pp. 1033-1050
    • Kaup, B.1    Lüdtke, J.2    Zwaan, R.A.3
  • 25
    • 84920363239 scopus 로고    scopus 로고
    • Constructions of Intersubjectivity Discourse Syntax and Cognition
    • [25] Verhagen, A., Constructions of Intersubjectivity Discourse Syntax and Cognition. Oxford University Press on Demand, 2005.
    • (2005) Oxford University Press on Demand
    • Verhagen, A.1
  • 26
    • 85016460010 scopus 로고    scopus 로고
    • Quizlet
    • [26] A&P Anatomy, Reproductive System, Quizlet, 2016. < https://quizlet.com/42556025/ap-anatomy-reproductive-system-flash-cards/>.
    • (2016) A&P Anatomy, Reproductive System
  • 27
    • 84952881104 scopus 로고    scopus 로고
    • Typology of negation
    • [27] Dahl, Ö., Typology of negation. Exp. Neg., 2010, 9–38.
    • (2010) Exp. Neg. , pp. 9-38
    • Dahl, Ö.1
  • 28
    • 0000939533 scopus 로고
    • Grammatical transformations and speed of understanding
    • [28] Gough, P.B., Grammatical transformations and speed of understanding. J. Verbal Learn. Verbal Behav. 4:2 (1965), 107–111.
    • (1965) J. Verbal Learn. Verbal Behav. , vol.4 , Issue.2 , pp. 107-111
    • Gough, P.B.1
  • 29
    • 0000691513 scopus 로고
    • Grammatical transformations and sentence comprehension in childhood and adulthood
    • [29] Slobin, D.I., Grammatical transformations and sentence comprehension in childhood and adulthood. J. Verbal Learn. Verbal Behav. 5:3 (1966), 219–227.
    • (1966) J. Verbal Learn. Verbal Behav. , vol.5 , Issue.3 , pp. 219-227
    • Slobin, D.I.1
  • 31
    • 44349123064 scopus 로고    scopus 로고
    • Syntactical negation detection in clinical practice guidelines
    • [31] Gindl, S., Kaiser, K., Miksch, S., Syntactical negation detection in clinical practice guidelines. Stud. Health Technol. Inform., 136, 2008, 187.
    • (2008) Stud. Health Technol. Inform. , vol.136 , pp. 187
    • Gindl, S.1    Kaiser, K.2    Miksch, S.3
  • 33
    • 0041909809 scopus 로고    scopus 로고
    • Effects of negation and situational presence on the accessibility of text information
    • [33] Kaup, B., Zwaan, R.A., Effects of negation and situational presence on the accessibility of text information. J. Exp. Psychol.: Learn. Memory Cogn., 29(3), 2003, 439.
    • (2003) J. Exp. Psychol.: Learn. Memory Cogn. , vol.29 , Issue.3 , pp. 439
    • Kaup, B.1    Zwaan, R.A.2
  • 34
    • 0035741485 scopus 로고    scopus 로고
    • A simple algorithm for identifying negated findings and diseases in discharge summaries
    • [34] Chapman, W.W., et al. A simple algorithm for identifying negated findings and diseases in discharge summaries. J. Biomed. Inform. 34:5 (2001), 301–310.
    • (2001) J. Biomed. Inform. , vol.34 , Issue.5 , pp. 301-310
    • Chapman, W.W.1
  • 35
    • 84927927981 scopus 로고    scopus 로고
    • DEEPEN: a negation detection system for clinical text incorporating dependency relation into NegEx
    • [35] Mehrabi, S., et al. DEEPEN: a negation detection system for clinical text incorporating dependency relation into NegEx. J. Biomed. Inform. 54 (2015), 213–219.
    • (2015) J. Biomed. Inform. , vol.54 , pp. 213-219
    • Mehrabi, S.1
  • 36
    • 0028403632 scopus 로고
    • A general natural-language text processor for clinical radiology
    • [36] Friedman, C., et al. A general natural-language text processor for clinical radiology. J. Am. Med. Inform. Assoc. 1:2 (1994), 161–174.
    • (1994) J. Am. Med. Inform. Assoc. , vol.1 , Issue.2 , pp. 161-174
    • Friedman, C.1
  • 37
    • 70349470770 scopus 로고    scopus 로고
    • ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports
    • [37] Harkema, H., et al. ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports. J. Biomed. Inform. 42:5 (2009), 839–851.
    • (2009) J. Biomed. Inform. , vol.42 , Issue.5 , pp. 839-851
    • Harkema, H.1
  • 38
    • 23144436097 scopus 로고    scopus 로고
    • A controlled trial of automated classification of negation from clinical notes
    • [38] Elkin, P.L., et al. A controlled trial of automated classification of negation from clinical notes. BMC Med. Inform. Decis. Making, 5(1), 2005, 13.
    • (2005) BMC Med. Inform. Decis. Making , vol.5 , Issue.1 , pp. 13
    • Elkin, P.L.1
  • 41
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • [41] Porter, M.F., An algorithm for suffix stripping. Program 14:3 (1980), 130–137.
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1
  • 43
    • 85041827359 scopus 로고    scopus 로고
    • [cited 2015 November 11]
    • [43] Wiktionary, 2016. < https://en.wiktionary.org/wiki/Wiktionary:Main_Page> [cited 2015 November 11].
    • (2016) Wiktionary
  • 48
    • 84858613793 scopus 로고    scopus 로고
    • [cited 2016 July 1]
    • [48] Wikipedia, 2016. < https://en.wikipedia.org/wiki/Lists_of_diseases> [cited 2016 July 1].
    • (2016) Wikipedia
  • 49
    • 85016507765 scopus 로고    scopus 로고
    • [cited 2016 July 1]
    • [49] Simple Wikipedia, 2016. < https://simple.wikipedia.org/wiki/List_of_diseases> [cited 2016 July 1].
    • (2016) Simple Wikipedia
  • 52
    • 85016478570 scopus 로고    scopus 로고
    • PubMed Health, U.S. National Library of Medicine
    • [52] N.C.F.B. Information, PubMed Health, U.S. National Library of Medicine, 2016.
    • (2016)
    • Information, N.C.F.B.1
  • 53
    • 85016470042 scopus 로고    scopus 로고
    • Clinical Trials, ClinicalTrials.gov
    • [53] Clinical Trials, ClinicalTrials.gov, 2016.
    • (2016)
  • 55
    • 85016462161 scopus 로고    scopus 로고
    • Managing unbalanced data for building machine learning models
    • [55] A. Dwyer, Managing unbalanced data for building machine learning models, in: Predictive Analytics and Data Mining, USA, 2015. < www.simafore.com>.
    • (2015) Predictive Analytics and Data Mining, USA
    • Dwyer, A.1
  • 56
    • 84964559619 scopus 로고    scopus 로고
    • Comparison of Naive Bayes and SVM classifiers in categorization of concept maps
    • [56] Žubrinić, K., Miličević, M., Zakarija, I., Comparison of Naive Bayes and SVM classifiers in categorization of concept maps. Int. J. Comput. 7:3 (2013), 109–116.
    • (2013) Int. J. Comput. , vol.7 , Issue.3 , pp. 109-116
    • Žubrinić, K.1    Miličević, M.2    Zakarija, I.3
  • 58
    • 84883422193 scopus 로고    scopus 로고
    • User evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retention
    • [58] Leroy, G., et al. User evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retention. J. Med. Inter. Res., 15(7), 2013, e144.
    • (2013) J. Med. Inter. Res. , vol.15 , Issue.7 , pp. e144
    • Leroy, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.