Predicting early psychiatric readmission with natural language processing of narrative discharge summaries

Predicting early psychiatric readmission with natural language processing of narrative discharge summaries

The ability to predict psychiatric readmission would facilitate the development of interventions to reduce this risk, a major driver of psychiatric health-care costs. The symptoms or characteristics of illness course necessary to develop reliable predictors are not available in coded billing data, b...

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Bibliographic Details
Main Authors: Castro, V M (Author), McCoy, T H (Author), Perlis, R H (Author), Naumann, Tristan (Contributor), Szolovits, Peter (Contributor), Rumshisky, Anna A. (Contributor), Ghassemi, Marzyeh (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2017-04-18T19:08:43Z.
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