系统管理学报2024，Vol.33Issue(4)：959-972,14.DOI:10.3969/j.issn2097-4558.2024.04.009
非酒精性脂肪肝风险人群分层健康管理框架及多维代谢指标数据挖掘方法
A Stratified Health Management Framework and Multi-Dimensional Metabolic Index Data Mining Method for Non-Alcoholic Fatty Liver Risk People
摘要
Abstract
Non-alcoholic fatty liver disease(NAFLD)is the most common chronic liver disease,with an increasing incidence in recent years.The current clinical strategy for managing the health of NAFLD risk groups adopts a"one-size-fits-all"approach,disregarding the difference among various risk stratification patients.Therefore,this paper proposed a framework for stratified health management and multi-dimensional metabolic index data mining method for NAFLD-risk people.First,it measured the metabolic index time series data of the patients using the dynamic temporal warping method,and utilized the similarity network fusion algorithm to combine the similarity matrix of multiple metabolic-related indicators.Next,it constructed a patients'metabolism-related indicators social network,and used the Leiden community detection algorithm for risk stratification.Then,it conducted knowledge discovery using the structured and unstructured textual data of each sub-community,mining typical patterns,TOP-N keywords,and medical recommendations.Finally,it applied the framework to real-world datasets and developed prototype systems.It is found that the framework and method proposed in this paper can enable clinicians to better grasp the risk level and accompanying characteristics of the risk people,thus implementing more refined health management with a stratified medical approach.关键词
非酒精性脂肪肝/多维代谢指标/分层健康管理/社区发现Key words
non-alcoholic fatty liver disease(NAFLD)/multi-dimensional metabolic index/stratified health management/community detection分类
医药卫生引用本文复制引用
吴卓青,郭崇慧,陈静锋,郑云超,丁素英..非酒精性脂肪肝风险人群分层健康管理框架及多维代谢指标数据挖掘方法[J].系统管理学报,2024,33(4):959-972,14.基金项目
国家自然科学基金资助项目(71771034,72101236) （71771034,72101236）
中央高校基本科研业务费(DUT21YG108) （DUT21YG108）
中国博士后科学基金资助项目(2022M722900) （2022M722900）
郑州市协同创新项目(XTCX2023006) （XTCX2023006）
