Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach

Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach

Abstract Background A common problem in machine learning applications is availability of data at the point of decision making. The aim of the present study was to use routine data readily available at admission to predict aspects relevant to the organization of psychiatric hospital care. A further a...

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Bibliographic Details
Main Authors: J. Wolff, A. Gary, D. Jung, C. Normann, K. Kaier, H. Binder, K. Domschke, A. Klimke, M. Franz
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Psychiatry
Hospitals
Decision support techniques
Machine learning
Health services administration
Online Access:https://doi.org/10.1186/s12911-020-1042-2

Internet

https://doi.org/10.1186/s12911-020-1042-2

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