Cargando…
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...
Autores principales: | Rumshisky, A, Ghassemi, M, Naumann, T, Szolovits, P, Castro, V M, McCoy, T H, Perlis, R H |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5315537/ https://www.ncbi.nlm.nih.gov/pubmed/27754482 http://dx.doi.org/10.1038/tp.2015.182 |
Ejemplares similares
-
Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes
por: Boag, William, et al.
Publicado: (2021) -
Sentiment Measured in Hospital Discharge Notes Is Associated with Readmission and Mortality Risk: An Electronic Health Record Study
por: McCoy, Thomas H., et al.
Publicado: (2015) -
Assessment of Time-Series Machine Learning Methods for Forecasting Hospital Discharge Volume
por: McCoy, Thomas H., et al.
Publicado: (2018) -
Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity
por: Clapp, Mark A., et al.
Publicado: (2022) -
Crisis discharges and readmission risk in acute psychiatric male inpatients
por: Niehaus, Dana JH, et al.
Publicado: (2008)