Investigation of multimorbidity patterns and association rules in patients with type 2 diabetes mellitus using association rules mining algorithm

Investigation of multimorbidity patterns and association rules in patients with type 2 diabetes mellitus using association rules mining algorithm

Abstract The issue of multimorbidity in patients with type 2 diabetes mellitus (T2DM) is extremely serious. However, the pattern of multimorbidity, including typical complications, remains unclear. This study aims to explore the current status and influencing factors of multimorbidity in T2DM, with...

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Bibliographic Details
Main Authors: Lianhua Liu, Xiaodan Wang, Mei Gui, Feng Ju, Li Cao, Bo Bi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Type 2 diabetes mellitus
Multimorbidity
Association rule mining (ARM)
Frequent comorbidity patterns
Association rule
Network graph
Online Access:https://doi.org/10.1038/s41598-025-09926-8
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https://doi.org/10.1038/s41598-025-09926-8

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