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Volumn 16, Issue 4, 2009, Pages 580-584

Semantic Classification of Diseases in Discharge Summaries Using a Context-aware Rule-based Classifier

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOMATION; COMORBIDITY; CONTROLLED STUDY; DISEASE CLASSIFICATION; HOSPITAL DISCHARGE; HOSPITAL INFORMATION SYSTEM; OBESITY; SEMANTICS;

EID: 67649359351     PISSN: 10675027     EISSN: None     Source Type: Journal    
DOI: 10.1197/jamia.M3087     Document Type: Article
Times cited : (56)

References (15)
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    • Recognizing obesity and Co-morbidities in sparse data
    • Uzuner Ö. Recognizing obesity and Co-morbidities in sparse data. J Am Med Inform Assoc (2009)
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    • Uzuner, Ö.1
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    • Zeng Q., 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 6 1 (2006) 30-38
    • (2006) BMC Med Inform Decis Mak , vol.6 , Issue.1 , pp. 30-38
    • Zeng, Q.1    Goryachev, S.2    Weiss, S.3
  • 11
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    • Building a hospital referral expert system with a prediction and optimization-based decision support system algorithm
    • Chi C.L., Street W.N., and Ward M.M. Building a hospital referral expert system with a prediction and optimization-based decision support system algorithm. J Biomed Inform 41 2 (2008) 371-386
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    • Chi, C.L.1    Street, W.N.2    Ward, M.M.3
  • 12
    • 24644505245 scopus 로고    scopus 로고
    • Resolving abbreviations to their senses in MEDLINE
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    • A simple algorithm for identifying negated findings and diseases in discharge summaries
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    • Tokyo, Japan: BioNLP'09 Shared Task on Event Extraction: in conjunction with BioNLP, a NAACL-HLT 2009 workshop, June 4-5 2009, Boulder, Colorado Accessed May 2009
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.