Automatic extracting of patient-related attributes: Disease, age, gender and race

Studies in Health Technology and Informatics

Volumn 180, Issue , 2012, Pages 589-593

  Zhu, Huijia ^a   Ni, Yuan ^a   Peng, Cai ^a   Qiu, Zhaoming ^a   Cao, Feng ^a  

^a IBM Research   (China)

Author keywords

Evidence based medicine (EBM); Information extraction; Natural language processing (NLP); Patient population problem; PICO

Indexed keywords

DATA MINING; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; RACING AUTOMOBILES;

CLINICAL PROBLEMS; EVIDENCE-BASED MEDICINE; NATURE LANGUAGE PROCESSING; PATIENT/POPULATION/PROBLEM; PICO; RULE-BASED APPROACH; TERM REPRESENTATION; UNSTRUCTURED DATA;

MEDICINE;

ARTICLE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; DATA MINING; ELECTRONIC MEDICAL RECORD; EVIDENCE BASED MEDICINE; HUMAN; MEDICAL RECORD; METHODOLOGY; NATURAL LANGUAGE PROCESSING; PATIENT; PATIENT CARE;

ARTIFICIAL INTELLIGENCE; DATA MINING; ELECTRONIC HEALTH RECORDS; EVIDENCE-BASED MEDICINE; HEALTH RECORDS, PERSONAL; HUMANS; NATURAL LANGUAGE PROCESSING; PATIENT-CENTERED CARE; PATIENTS;

EID: 84872555359     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-101-4-589     Document Type: Conference Paper

References (7)

1. Sackett DL, Straus SE, Richardson WS, Rosenberg W, Haynes RB. Evidence-Based Medicine: How to Practice and Teach EBM, second edition. Churchill Livingstone, Edinburgh, 2000.
2. Richardson, WS, Wilson MC, Nishikawa J, Hayward RS. The well-built clinical question: A key to evidence-based decisions. American College of Physicians Journal Club 1995; 123(3):A12-A13.
3. Demner-Fushman D, Lin J. Answering Clinical Questions with Knowledge-based and Statistical Techniques. Computational Linguistics 2007; 33(1):63-103.
4. Aronson AR. Effective Mapping of Biomedical Text to the UMLS Metathesaurus: The MetaMap Program. AMIA Annu Symp 2001; 17-21
5. http://nlp.stanford.edu/software/lex-parser.shtml.
6. www.tripanswers.org
7. http://www.ncbi.nlm.nih.gov/pubmed/.