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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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| Publié dans: | BMC Med Inform Decis Mak |
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| Auteurs principaux: | , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7006066/ https://ncbi.nlm.nih.gov/pubmed/32028934 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-1042-2 |
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