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

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 aim was t...

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Detalles Bibliográficos
Autores principales: Wolff, J., Gary, A., Jung, D., Normann, C., Kaier, K., Binder, H., Domschke, K., Klimke, A., Franz, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006066/
https://www.ncbi.nlm.nih.gov/pubmed/32028934
http://dx.doi.org/10.1186/s12911-020-1042-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006066/
https://www.ncbi.nlm.nih.gov/pubmed/32028934
http://dx.doi.org/10.1186/s12911-020-1042-2

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