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Volumn 21, Issue 5, 2014, Pages 850-857

Learning regular expressions for clinical text classification

Author keywords

[No Author keywords available]

Indexed keywords

ANALGESIA; ARTICLE; CLINICAL TEXT CLASSIFICATION; COMPARATIVE EFFECTIVENESS; COMPARATIVE STUDY; COST EFFECTIVENESS ANALYSIS; ELECTRONIC MEDICAL RECORD; HUMAN; LEARNING ALGORITHM; NATURAL LANGUAGE PROCESSING; PAIN; REGULAR EXPRESSION DISCOVERY ALGORITHM; RISK FACTOR; SMOKING; SUPPORT VECTOR MACHINE;

EID: 84906314957     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-002411     Document Type: Article
Times cited : (89)

References (33)
  • 1
    • 84906314982 scopus 로고    scopus 로고
    • Using ensemble models to classify the sentiment expressed in suicide notes
    • McCart JA, Finch DK, Jarman J, et al. Using ensemble models to classify the sentiment expressed in suicide notes. Biomed Inform Insights 2012;5(Suppl. 1):77-85.
    • (2012) Biomed Inform Insights , vol.5 , Issue.SUPPL. 1 , pp. 77-85
    • McCart, J.A.1    Finch, D.K.2    Jarman, J.3
  • 2
    • 38049119565 scopus 로고    scopus 로고
    • Deafness mutation mining using regular expression based pattern matching
    • Frenz CM. Deafness mutation mining using regular expression based pattern matching. BMC Med Inform Decis Mak 2007;7:32.
    • (2007) BMC Med Inform Decis Mak , vol.7 , pp. 32
    • Frenz, C.M.1
  • 3
    • 84862628174 scopus 로고    scopus 로고
    • PASTE: patient-centered SMS text tagging in a medication management system.
    • Stenner SP, Johnson KB, Denny JC. PASTE: patient-centered SMS text tagging in a medication management system. JAm Med Inform Assoc2012;19:368-74.
    • (2012) JAm Med Inform Assoc , vol.19 , pp. 368-374
    • Stenner, S.P.1    Johnson, K.B.2    Denny, J.C.3
  • 4
    • 62749158308 scopus 로고    scopus 로고
    • Identifying QT prolongation from ECG impressions using a general-purpose Natural Language Processor
    • Denny JC, Miller RA, Waitman LR, et al. Identifying QT prolongation from ECG impressions using a general-purpose Natural Language Processor. Int J Med Inform 2009;78(Suppl 1):S34-42.
    • (2009) Int J Med Inform , vol.78 , Issue.SUPPL 1
    • Denny, J.C.1    Miller, R.A.2    Waitman, L.R.3
  • 6
    • 79959656311 scopus 로고    scopus 로고
    • Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin
    • Xu H, Jiang M, Oetjens M, et al. Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin. J Am Med Inform Assoc 2011;18:387-91.
    • (2011) J Am Med Inform Assoc , vol.18 , pp. 387-391
    • Xu, H.1    Jiang, M.2    Oetjens, M.3
  • 9
    • 33745562886 scopus 로고    scopus 로고
    • Assessing the difficulty and time cost of de-identification in clinical narratives
    • Dorr DA, Phillips WF, Phansalkar S, et al. Assessing the difficulty and time cost of de-identification in clinical narratives. Methods Inf Med 2006;45:246-52.
    • (2006) Methods Inf Med , vol.45 , pp. 246-252
    • Dorr, D.A.1    Phillips, W.F.2    Phansalkar, S.3
  • 10
    • 33748046130 scopus 로고    scopus 로고
    • Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system
    • Zeng QT, Goryachev S, Weiss S, et al. Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system. BMC Med Inform Decis Mak 2006;6:30.
    • (2006) BMC Med Inform Decis Mak , vol.6 , pp. 30
    • Zeng, Q.T.1    Goryachev, S.2    Weiss, S.3
  • 11
    • 0035741485 scopus 로고    scopus 로고
    • A simple algorithm for identifying negated findings and diseases in discharge summaries
    • Chapman WW, Bridewell W, Hanbury P, et al. A simple algorithm for identifying negated findings and diseases in discharge summaries. J Biomed Inform 2001;34:301-10.
    • (2001) J Biomed Inform , vol.34 , pp. 301-310
    • Chapman, W.W.1    Bridewell, W.2    Hanbury, P.3
  • 12
    • 34247380744 scopus 로고    scopus 로고
    • A novel hybrid approach to automated negation detection in clinical radiology reports
    • Huang Y, Lowe HJ. A novel hybrid approach to automated negation detection in clinical radiology reports. J Am Med Inform Assoc 2007;14:304-11.
    • (2007) J Am Med Inform Assoc , vol.14 , pp. 304-311
    • Huang, Y.1    Lowe, H.J.2
  • 16
    • 78651287844 scopus 로고    scopus 로고
    • Clustering based approach to learning regular expressions over large alphabet for noisy unstructured text.
    • Toronto, ON, Canada. 1871848: ACM;
    • Babbar R, Singh N. Clustering based approach to learning regular expressions over large alphabet for noisy unstructured text. Proceedings of the fourth workshop on Analytics for noisy unstructured text data; Toronto, ON, Canada. 1871848: ACM; 2010. p. 43-50.
    • (2010) Proceedings of the fourth workshop on Analytics for noisy unstructured text data , pp. 43-50
    • Babbar, R.1    Singh, N.2
  • 17
    • 85017211574 scopus 로고    scopus 로고
    • Learning to identify regular expressions that describe email campaigns.
    • arXiv preprint arXiv:12064637.
    • Prasse P, Sawade C, Landwehr N, et al. Learning to identify regular expressions that describe email campaigns. arXiv preprint arXiv:12064637. 2012.
    • (2012)
    • Prasse, P.1    Sawade, C.2    Landwehr, N.3
  • 20
    • 84890543419 scopus 로고    scopus 로고
    • Practical implementation of an existing smoking detection pipeline and reduced support vector machine training corpus requirements
    • Khor R, Yip WK, Bressel M, et al. Practical implementation of an existing smoking detection pipeline and reduced support vector machine training corpus requirements. J Am Med Inform Assoc 2014;21:27-30.
    • (2014) J Am Med Inform Assoc , vol.21 , pp. 27-30
    • Khor, R.1    Yip, W.K.2    Bressel, M.3
  • 21
    • 34548516061 scopus 로고    scopus 로고
    • Identifying patient smoking status from medical discharge records
    • Uzuner O, Goldstein I, Luo Y, et al. Identifying patient smoking status from medical discharge records. J Am Med Inform Assoc 2008;15:14-24.
    • (2008) J Am Med Inform Assoc , vol.15 , pp. 14-24
    • Uzuner, O.1    Goldstein, I.2    Luo, Y.3
  • 22
    • 9444220438 scopus 로고    scopus 로고
    • Accurate Unlexicalized Parsing.
    • Proceedings of the 41st Meeting of the Association for Computational Linguistics
    • Klein D, Manning CD. Accurate Unlexicalized Parsing. Proceedings of the 41st Meeting of the Association for Computational Linguistics, 2003; pp 423-30.
    • (2003) , pp. 423-430
    • Klein, D.1    Manning, C.D.2
  • 23
    • 84906302539 scopus 로고    scopus 로고
    • Introduction to Linguistic Annotation and Text Analytics, Morgan & Claypool Publishers
    • Wilcock G. Introduction to Linguistic Annotation and Text Analytics, Morgan & Claypool Publishers, 2009.
    • (2009)
    • Wilcock, G.1
  • 24
    • 78650364839 scopus 로고    scopus 로고
    • Automated categorisation of clinical incident reports using statistical text classification
    • Ong M-S, Magrabi F, Coiera E. Automated categorisation of clinical incident reports using statistical text classification. Qual Saf Health Care 2010;19:e55.
    • (2010) Qual Saf Health Care , vol.19
    • Ong, M-S.1    Magrabi, F.2    Coiera, E.3
  • 25
    • 84906321883 scopus 로고    scopus 로고
    • Combining lexico-semantic features for emotion classification in suicide notes
    • Desmet B, Hoste V. Combining lexico-semantic features for emotion classification in suicide notes. Biomed Inform Insights 2012;5(Suppl 1):125-8.
    • (2012) Biomed Inform Insights , vol.5 , Issue.SUPPL 1 , pp. 125-128
    • Desmet, B.1    Hoste, V.2
  • 26
    • 84890481746 scopus 로고    scopus 로고
    • Text categorization of heart, lung, and blood studies in the database of genotypes and phenotypes (dbGaP) utilizing n-grams and metadata features
    • Ross MK, Lin K-W, Truong K, et al. Text categorization of heart, lung, and blood studies in the database of genotypes and phenotypes (dbGaP) utilizing n-grams and metadata features. Biomed Inform Insights 2013;6:35-45.
    • (2013) Biomed Inform Insights , vol.6 , pp. 35-45
    • Ross, M.K.1    Lin, K-W.2    Truong, K.3
  • 27
    • 84872236807 scopus 로고    scopus 로고
    • Active learning for clinical text classification: is it better than random sampling?
    • Figueroa RL, Zeng-Treitler Q, Ngo LH, et al. Active learning for clinical text classification: is it better than random sampling? J Am Med Inform Assoc 2012;19:809-16.
    • (2012) J Am Med Inform Assoc , vol.19 , pp. 809-816
    • Figueroa, R.L.1    Zeng-Treitler, Q.2    Ngo, L.H.3
  • 28
    • 84872246391 scopus 로고    scopus 로고
    • Automatic classification of mammography reports by BI-RADS breast tissue composition class.
    • Percha B, Nassif H, Lipson J, et al. Automatic classification of mammography reports by BI-RADS breast tissue composition class. J Am Med Inform Assoc2012;19:913-6.
    • (2012) J Am Med Inform Assoc , vol.19 , pp. 913-916
    • Percha, B.1    Nassif, H.2    Lipson, J.3
  • 29
    • 84871984012 scopus 로고    scopus 로고
    • Clinical decision support with automated text processing for cervical cancer screening
    • Wagholikar KB, MacLaughlin KL, Henry MR, et al. Clinical decision support with automated text processing for cervical cancer screening. J Am Med Inform Assoc 2012;19:833-9.
    • (2012) J Am Med Inform Assoc , vol.19 , pp. 833-839
    • Wagholikar, K.B.1    MacLaughlin, K.L.2    Henry, M.R.3
  • 30
    • 84881258280 scopus 로고    scopus 로고
    • Automatic topic identification of health-related messages in online health community using text classification
    • Lu Y. Automatic topic identification of health-related messages in online health community using text classification. Springerplus 2013;2:309.
    • (2013) Springerplus , vol.2 , pp. 309
    • Lu, Y.1
  • 31
    • 84888203672 scopus 로고    scopus 로고
    • Text classification for assisting moderators in online health communities
    • Huh J, Yetisgen-Yildiz M, Pratt W. Text classification for assisting moderators in online health communities. J Biomed Inform 2013;46:998-1005.
    • (2013) J Biomed Inform , vol.46 , pp. 998-1005
    • Huh, J.1    Yetisgen-Yildiz, M.2    Pratt, W.3
  • 32
    • 84865516429 scopus 로고    scopus 로고
    • A multi-classifier based guideline sentence classification system
    • Song MH, Kim SH, Park DK, et al. A multi-classifier based guideline sentence classification system. Healthc Inform Res 2011;17:224-31.
    • (2011) Healthc Inform Res , vol.17 , pp. 224-231
    • Song, M.H.1    Kim, S.H.2    Park, D.K.3
  • 33
    • 84906314316 scopus 로고    scopus 로고
    • A hybrid approach to sentiment sentence classification in suicide notes
    • Sohn S, Torii M, Li D, et al. A hybrid approach to sentiment sentence classification in suicide notes. Biomed Inform Insights 2012;5(Suppl. 1):43-50.
    • (2012) Biomed Inform Insights , vol.5 , Issue.SUPPL. 1 , pp. 43-50
    • Sohn, S.1    Torii, M.2    Li, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.