Automatically extracting information needs from complex clinical questions

Abstract

OBJECTIVE Clinicians pose complex clinical questions when seeing patients, and identifying the answers to those questions in a timely manner helps improve the quality of patient care. We report here on two natural language processing models, namely, automatic topic assignment and keyword identification, that together automatically and effectively extract… (More)
DOI: 10.1016/j.jbi.2010.07.007

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