Revealing the critical state and identifying individualized dynamic network biomarker for type 2 diabetes through advanced analysis methods on individual basis.

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第一作者： Peiyu,Li

第一单位： Network and Informatization Office, Henan University of Science and Technology, Luoyang, China. lpy@haust.edu.cn.;Henan Engineering Laboratory of Cloud Computing Data Center Network Key Technologies, Luoyang, 471023, China. lpy@haust.edu.cn.

作者： Peiyu,Li ^[1] ; Shaowen,Jing ^[2] ; Guo,Tian ^[2] ; Jing,Jiang ^[3]

作者单位： Network and Informatization Office, Henan University of Science and Technology, Luoyang, China. lpy@haust.edu.cn.;Henan Engineering Laboratory of Cloud Computing Data Center Network Key Technologies, Luoyang, 471023, China. lpy@haust.edu.cn. ^[1] Network and Informatization Office, Henan University of Science and Technology, Luoyang, China. ^[2] School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China. ^[3]

关键词 Critical state Dynamic network biomarker Network information gain (NIG)Single-sample Jensen–Shannon Divergence (sJSD)Temporal network flow entropy (TNFE)

主题词糖尿病, 2型(Diabetes Mellitus, Type 2);人类(Humans);疾病恶化(Disease Progression);计算机模拟(Computer Simulation);算法(Algorithms)

DOI 10.1038/s41598-025-87438-1

PMID 39890881

发布时间 2025-02-04

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准确一般字义偏差语意偏离译文作用小提交