Comparing Multimorbidity Patterns Among Discharged Middle-Aged and Older Inpatients Between Hong Kong and Zurich: A Hierarchical Agglomerative Clustering Analysis of Routine Hospital Records

Comparing Multimorbidity Patterns Among Discharged Middle-Aged and Older Inpatients Between Hong Kong and Zurich: A Hierarchical Agglomerative Clustering Analysis of Routine Hospital Records

Background: Multimorbidity, defined as the co-occurrence of ≥2 chronic conditions, is clinically diverse. Such complexity hinders the development of integrated/collaborative care for multimorbid patients. In addition, the universality of multimorbidity patterns is unclear given scarce research compa...

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Bibliographic Details
Main Authors: Francisco T. T. Lai, Patrick E. Beeler, Benjamin H. K. Yip, Marcus Cheetham, Patsy Y. K. Chau, Roger Y. Chung, Eliza L. Y. Wong, Eng-Kiong Yeoh, Edouard Battegay, Samuel Y. S. Wong
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Medicine
Subjects:
comorbidity
machine learning
multiple chronic conditions
non-communicable disease
population aging
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.651925/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.651925/full

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