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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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| Veröffentlicht in: | BMC Psychiatry |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7414567/ https://ncbi.nlm.nih.gov/pubmed/32770970 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12888-020-02803-w |
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