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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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Bibliographic Details
Published in:BMC Med Inform Decis Mak
Main Authors: Wolff, J., Gary, A., Jung, D., Normann, C., Kaier, K., Binder, H., Domschke, K., Klimke, A., Franz, M.
Format: Artigo
Language:Inglês
Published: BioMed Central 2020
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Online Access: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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