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 ...
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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 ' , Journals of Gerontology Series A-Biological Sciences and Medical Sciences , vol. 76 , no. 7 , pp. 1234-1241 . https://doi.org/10.1093/gerona/glaa278 |
Schlagwörter: | Chronic conditions / Chronology of disease / Machine learning / ALCOHOL-CONSUMPTION / HYPERTENSION |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26988101 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://cris.maastrichtuniversity.nl/en/publications/455d879d-1f53-4c50-b8f1-3d68938f1d51 |