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 ...

Verfasser: van Mens, Kasper
Kwakernaak, Sascha
Janssen, Richard
Cahn, Wiepke
Lokkerbol, Joran
Tiemens, Bea
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
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Link(s) : https://dspace.library.uu.nl/handle/1874/443577