Development of Multimorbidity Over Time:An Analysis of Belgium Primary Care Data Using Markov Chains and Weighted Association Rule Mining

BACKGROUND: The prevalence of multimorbidity is increasing in recent years, and patients with multimorbidity often have a decrease in quality of life and require more health care. The aim of this study was to explore the evolution of multimorbidity taking the sequence of diseases into consideration. METHODS: We used a Belgian database collected by extracting coded parameters and more than 100 chronic conditions from the Electronic Health Records of general practitioners to study patients older than 40 years with multiple diagnoses between 1991 and 2015 (N = 65 939). We applied Markov chains to... Mehr ...

Verfasser: Shi, Xi
Nikolic, Gorana
Van Pottelbergh, Gijs
van den Akker, Marjan
Vos, Rein
De Moor, Bart
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: Shi , X , Nikolic , G , Van Pottelbergh , G , van den Akker , M , Vos , R & De Moor , B 2021 , ' Development of Multimorbidity Over Time : An Analysis of Belgium Primary Care Data Using Markov Chains and Weighted Association Rule Mining ' , The journals of gerontology. Series A, Biological sciences and medical sciences , vol. 76 , no. 7 , pp. 1234-1241 . https://doi.org/10.1093/gerona/glaa278
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26995837
Datenquelle: BASE; Originalkatalog
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Link(s) : https://pure.eur.nl/en/publications/1839ad40-a274-4b02-90e0-69f5c6d5f0d4