Comorbidity risk and distribution characteristics of chronic diseases in the elderly population in China

Z **ang, H Wang, H Li - BMC Public Health, 2024 - Springer
Background The risk of comorbid chronic diseases in elderly people is an important problem
affecting their health and quality of life. We analyzed the incidence of chronic diseases for …

Does a GP service package matter in addressing the absence of health management by the occupational population? A modelling study

J Guo, Y Qian, C Chen, H Liang, J Huang - BMC Health Services …, 2024 - Springer
Objective To assess the influence of supply and demand factors on the contract behavior of
occupational populations with general practitioner (GP) teams. Methods We employed a …

Copula hidden Markov model with unknown number of states

Y Liu, D **e, S Yu - Computational Statistics, 2024 - Springer
In this study, we investigate the construction of hidden Markov models (HMMs) with copulas
serving as the emission distributions. Additionally, we relax the traditional assumption that …

Bayesian approaches of mixture copulas with applications

Y Liu - 2024 - search.proquest.com
Copula theory has become one of the most important ideologies and methodologies for
modeling the dependence among random variables. Rather than using point performance …

Coupled Hidden Markov Model with Binomial and Truncated Geometric Copula to Investigate Hypertension and Diabetes Multimorbidity Progression

Z Oflaz, SB Belhaouari - The International Arab Conference on …, 2023 - Springer
This study aims to investigate the relationship between hypertension and diabetes, two
chronic diseases with significant public health implications. While the association between …

Comorbidity Risk and Distribution Characteristics of Chronic Diseases in the Elderly in China

Z **ang, H Wang, H Li - 2023 - researchsquare.com
Background The comorbidity risk of chronic diseases in the elderly is an important problem
affecting the health of the elderly and quality of life. We try to analyze comorbidity risk and …