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...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Nature Publishing Group
2017
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| 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 |