Predicting hospitalization following psychiatric crisis care using machine learning

BACKGROUND: Accurate prediction models for whether patients on the verge of a psychiatric criseis need hospitalization are lacking and machine learning methods may help improve the accuracy of psychiatric hospitalization prediction models. In this paper we evaluate the accuracy of ten machine learni...

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Detalles Bibliográficos
Autores principales: Blankers, Matthijs, van der Post, Louk F. M., Dekker, Jack J. 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/PMC7731561/
https://www.ncbi.nlm.nih.gov/pubmed/33302948
http://dx.doi.org/10.1186/s12911-020-01361-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731561/
https://www.ncbi.nlm.nih.gov/pubmed/33302948
http://dx.doi.org/10.1186/s12911-020-01361-1

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