CliniQA : HHHighly reliable clinical question answering system

Studies in Health Technology and Informatics

Volumn 180, Issue , 2012, Pages 215-219

  Ni, Yuan ^a   Zhu, Huijia ^a   Cai, Peng ^a   Zhang, Lei ^a   Qui, Zhaoming ^a   Cao, Feng ^a  

^a IBM CHINA RESEARCH LAB   (China)

Author keywords

Evidence based Medicine (EBM); Natural language processing (NLP); Question answering system (QA)

Indexed keywords

CLINICAL RESEARCH; DECISION MAKING; MEDICAL COMPUTING;

CLINICAL DECISION MAKING; EVIDENCE-BASED MEDICINE; HIGHLY RELIABLE; MEDICAL RESEARCH; QUESTION ANSWERING SYSTEMS; RESEARCH REPORTS; SCIENTIFIC EVIDENCE; SCIENTIFIC METHOD;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ARTICLE; ARTIFICIAL INTELLIGENCE; CHINA; COMPUTER PROGRAM; DATA MINING; DECISION MAKING; DECISION SUPPORT SYSTEM; EVIDENCE BASED MEDICINE; MEDICAL RESEARCH; METHODOLOGY; NATURAL LANGUAGE PROCESSING; PUBLICATION;

ARTIFICIAL INTELLIGENCE; BIOMEDICAL RESEARCH; CHINA; DATA MINING; DECISION MAKING; DECISION SUPPORT SYSTEMS, CLINICAL; EVIDENCE-BASED MEDICINE; NATURAL LANGUAGE PROCESSING; PERIODICALS AS TOPIC; SOFTWARE;

EID: 84872546072     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-101-4-215     Document Type: Conference Paper

References (6)

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3. Aronson, Alan R. Effective Mapping of Biomedical Text to the UMLS Metathesaurus: The MetaMap Program. AMIA Annu Symp Proc. 2001, 17-21
4. Xiaoli Huang, Jimmy Lin and Dina Demner-Fushman. Evaluation of PICO as s Knowledge Representation for Clinical Question. AMIA Annu Symp Proc, 2006, 359-363
5. Rindflesch, Thomas C. and Marcelo Fiszman. The Interaction of Domain Knowledge and Linguistic Structure in Natural Language Processing: Interpreting Hypernymic Propositions in Biomedical Text. J Biomed Inform, 36(6):462-477
6. www.tripanswers.org