NLP-derived information improves the estimates of risk of disease compared to estimates based on manually extracted data alone

SMBM 2012 - Proceedings of the 5th International Symposium on Semantic Mining in Biomedicine

Volumn , Issue , 2012, Pages 18-25

  Callaghan, Fiona M ^a   Jackson, Matthew T ^b   Demner Fushman, Dina ^a   Abhyankar, Swapna ^a   McDonald, Clement J ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL RESEARCH; INFERENCE METHODS; LOW POWER; MAXIMUM LIKELIHOOD METHODS; NATURAL LANGUAGE PROCESSING; SENSITIVITY AND SPECIFICITY; UNBIASED ESTIMATES;

DISEASES; ESTIMATION; RESEARCH; RISK PERCEPTION; SEMANTICS; STATISTICAL METHODS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84874224276     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5167/uzh-64476     Document Type: Conference Paper

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