Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands

Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands

Abstract Background Policymakers generally lack sufficiently detailed health information to develop localized health policy plans. Chronic disease prevalence mapping is difficult as accurate direct sources are often lacking. Improvement is possible by adding extra information such as medication use...

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Bibliographic Details
Main Authors: Koen Füssenich, Hendriek C. Boshuizen, Markus M. J. Nielen, Erik Buskens, Talitha L. Feenstra
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Public Health
Subjects:
Disease prevalence
Small area estimates
Machine learning
Online Access:https://doi.org/10.1186/s12889-021-10754-4

Internet

https://doi.org/10.1186/s12889-021-10754-4

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