Danli Kong, Rong Chen, Yongze Chen, Le Zhao, Ruixian Huang, Ling Luo, Fengxia Lai, Zihua Yang, Shuang Wang, Jingjing Zhang, Hao Chen, Zhenhua Mai, Haibing Yu, Keng Wu, Yuanlin Ding
OBJECTIVE: Bayesian network (BN) models were developed to explore the specific relationships between influencing factors and type 2 diabetes mellitus (T2DM), coronary heart disease (CAD), and their comorbidities. The aim was to predict disease occurrence and diagnose etiology using these models, thereby informing the development of effective prevention and control strategies for T2DM, CAD, and their comorbidities. METHOD: Employing a case-control design, the study compared individuals with T2DM, CAD, and their comorbidities (case group) with healthy counterparts (control group)...
May 8, 2024: BMC Public Health