Use abstracted patient-specific features to assist an information-theoretic measurement to assess similarity between medical cases

Journal of Biomedical Informatics

Volumn 41, Issue 6, 2008, Pages 882-888

  Cao, Hui ^a,c   Melton, Genevieve B ^b   Markatou, Marianthi ^a   Hripcsak, George ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b DEPARTMENT OF PATHOLOGY   (United States)

^c Deloitte Consulting   (United States)

Author keywords

Abstracting; Case similarity; Case based reasoning; Patient feature

Indexed keywords

ABSTRACTING; INFORMATION THEORY;

CASE BASE; CASE SIMILARITIES; CASE SIMILARITY; CHALLENGING PROBLEMS; MEDICAL CASES; MEDICAL RECORDS; PATIENT CASES; PATIENT FEATURE; SIMILAR CASES;

CASE BASED REASONING;

ARTICLE; EVIDENCE BASED PRACTICE; MEDICAL INFORMATICS; MEDICAL RECORD; PRIORITY JOURNAL; SEMANTICS; THEORETICAL STUDY;

ABSTRACTING AND INDEXING AS TOPIC; INFORMATION THEORY; PROBABILITY;

EID: 55749116316     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2008.03.006     Document Type: Article

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