Contribution of Ambient Air Pollution on Risk Assessment of Type 2 Diabetes Mellitus via Explainable Machine Learning
作者机构:Department of Epidemiology and BiostatisticsCollege of Public HealthZhengzhou UniversityZhengzhou 450001HenanChina Department of Software EngineeringSchool of Computer and Artificial IntelligenceZhengzhou UniversityZhengzhou 450001HenanChina Department of StatisticsUniversity of Illinois at Urbana-ChampaignChampaignU.S.A NHC Key Laboratory of Prevention and Treatment of Cerebrovascular DiseasesZhengzhou 450001HenanChina
出 版 物:《Biomedical and Environmental Sciences》 (生物医学与环境科学(英文版))
年 卷 期:2023年第36卷第6期
页 面:557-560页
核心收录:
学科分类:1002[医学-临床医学] 07[理学] 070602[理学-大气物理学与大气环境] 100201[医学-内科学(含:心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 0706[理学-大气科学] 10[医学]
基 金:supported by the Science and Technology Innovation Team Support Plan of Colleges and Universities in Henan Province[Grant NO:21IRTSTHN029] Foundation of National Key Program of Research and Development of China[Grant NO:2016YFC0900803] Key Research Program of Colleges and Universities in Henan Province[Grant NO:21A330007] Discipline Key Research and Development Program of Zhengzhou University[Grant NO:XKZDQY202008,XKZDQY202002]
摘 要:Type 2 diabetes mellitus(T2DM)is recognized as a heterogeneous and complicated disease that is able to influence individuals at various life stages[1].Apart from traditional predictors such as age,family history of diabetes,body mass index,and so on,ambient air pollution is also shown to increase the risk of T2DM in previous studies.