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, McCoy, T H, Perlis, R H, Naumann, Tristan, Szolovits, Peter, Rumshisky, Anna A., Ghassemi, Marzyeh
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Nature Publishing Group 2017
Online Access:http://hdl.handle.net/1721.1/108225
https://orcid.org/0000-0003-2150-1747
https://orcid.org/0000-0001-8411-6403
https://orcid.org/0000-0002-8029-0823
https://orcid.org/0000-0001-6349-7251

Internet

http://hdl.handle.net/1721.1/108225
https://orcid.org/0000-0003-2150-1747
https://orcid.org/0000-0001-8411-6403
https://orcid.org/0000-0002-8029-0823
https://orcid.org/0000-0001-6349-7251

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