Predicting Future Service Use in Dutch Mental Healthcare: A Machine Learning Approach
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 using rec... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2022 |
Schlagwörter: | Machine learning / Mental healthcare / Resource allocation / Phychiatric Mental Health / Health Policy / Public Health / Environmental and Occupational Health / Psychiatry and Mental health |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27457719 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dspace.library.uu.nl/handle/1874/443577 |