Predicting Future Service Use in Dutch Mental Healthcare: A Machine Learning Approach
Abstract A mental healthcare system in which the scarce resources are equitably and efficiently allocated, benefits from a predictive model about expected service use. The skewness in service use is a challenge for such models. In this study, we applied a machine learning approach to forecast expected service use, as a starting point for agreements between financiers and suppliers of mental healthcare. This study used administrative data from a large mental healthcare organization in the Netherlands. A training set was selected using records from 2017 (N = 10,911), and a test set was selected... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2021 |
Reihe/Periodikum: | Administration and Policy in Mental Health and Mental Health Services Research ; volume 49, issue 1, page 116-124 ; ISSN 0894-587X 1573-3289 |
Verlag/Hrsg.: |
Springer Science and Business Media LLC
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Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29036523 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://dx.doi.org/10.1007/s10488-021-01150-6 |