Identification of risk factors for involuntary psychiatric hospitalization: using environmental socioeconomic data and methods of machine learning to improve prediction

BACKGROUND: The purpose of this study was to identify factors associated with a high risk of involuntary psychiatric in-patient hospitalization both on the individual level and on the level of mental health services and the socioeconomic environment that patients live in. METHODS: The present study...

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Detalles Bibliográficos
Autores principales: Karasch, O., Schmitz-Buhl, M., Mennicken, R., Zielasek, J., Gouzoulis-Mayfrank, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414567/
https://www.ncbi.nlm.nih.gov/pubmed/32770970
http://dx.doi.org/10.1186/s12888-020-02803-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414567/
https://www.ncbi.nlm.nih.gov/pubmed/32770970
http://dx.doi.org/10.1186/s12888-020-02803-w

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