Automatically extracting information needs from complex clinical questions

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چکیده

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Automatically extracting information needs from complex clinical questions

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 information needs from ad hoc clinical q...

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Automatically extracting information needs from ad hoc clinical questions is an important step towards medical question answering. In this work, we first explored supervised machine-learning approaches to automatically classify an ad hoc clinical question into general topics. We then evaluated different methods for automatically extracting keywords from an ad hoc clinical question. Our methods ...

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ژورنال

عنوان ژورنال: Journal of Biomedical Informatics

سال: 2010

ISSN: 1532-0464

DOI: 10.1016/j.jbi.2010.07.007