Construction of Life-Cycle Simulation Framework of Chronic Diseases and Their Comorbidities Based on Population Cohort

Life-cycle population follow-up data collection is time-consuming and often takes decades. General cohort data studies collect short-to-medium-term data from populations of different age groups. The purpose of constructing a life-cycle simulation method is to find an efficient and reliable way to ac...

Full description

Saved in:
Bibliographic Details
Published inAlgorithms Vol. 15; no. 5; p. 167
Main Authors Sun, Peixia, Lao, Shengxiong, Du, Dongyang, Peng, Jiqiang, Yang, Xu
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 16.05.2022
Subjects
Cardiovascular disease
chronic comorbidity
chronic disease risk
Chronic illnesses
Cluster analysis
Comorbidity
Data collection
Older people
population cohort simulation
Simulation
Taiwan
Online AccessGet full text

Cover

More Information
Summary:Life-cycle population follow-up data collection is time-consuming and often takes decades. General cohort data studies collect short-to-medium-term data from populations of different age groups. The purpose of constructing a life-cycle simulation method is to find an efficient and reliable way to achieve the way to characterize life-cycle disease metastasis from these short-to-medium-term data. In this paper, we have presented our effort at construction of a full lifetime population cohort simulation framework. The design aim is to generate a comprehensive understanding of the disease transition for full lifetime when we only have short-or-medium term population cohort data. We have conducted several groups of experiments to show the effectiveness of our method.
ISSN:1999-4893
1999-4893
DOI:10.3390/a15050167