Combining relevance assignment with quality of the evidence to support guideline development

Studies in Health Technology and Informatics

Volumn 160, Issue PART 1, 2010, Pages 709-713

  Fiszman, Marcelo ^a   Bray, Bruce E ^c   Shin, Dongwook ^a   Kilicoglu, Halil ^d   Bennett, Glen C ^b   Bodenreider, Olivier ^a   Rindflesch, Thomas C ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

^c UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^d Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

Clinical guidelines; Machine learning; Natural language processing

Indexed keywords

LEARNING ALGORITHMS; LEARNING SYSTEMS; MEDICAL APPLICATIONS; SEMANTICS;

BEST PRACTICES; CARDIO-VASCULAR RISK FACTORS; CLINICAL GUIDELINE; CLINICAL PRACTICE GUIDELINES; EVIDENCE-BASED MEDICINE; HIGH-QUALITY RESEARCH; LITERATURE REVIEWS; SYMBOLIC SEMANTICS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 78649502325     PISSN: 09269630     EISSN: 18798365     Source Type: Conference Proceeding    
DOI: 10.3233/978-1-60750-588-4-709     Document Type: Conference Paper

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