Contribution of Ambient Air Pollution on Risk Assessment of Type 2 Diabetes Mellitus via Explainable Machine Learning

二维码有效期 120s

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.

作者 DING Zhong Ao ^[1] ZHANG Li Ying ^[2] LI Rui Ying ^[1] NIU Miao Miao ^[1] ZHAO Bo ^[3] DONG Xiao Kang ^[1] LIU Xiao Tian ^[1] HOU Jian ^[1] MAO Zhen Xing ^[1] WANG Chong Jian ^[4] 学术成果认领

作者单位 Department of Epidemiology and Biostatistics,College of Public Health,Zhengzhou University,Zhengzhou 450001,Henan,China ^[1] Department of Epidemiology and Biostatistics,College of Public Health,Zhengzhou University,Zhengzhou 450001,Henan,China;Department of Software Engineering,School of Computer and Artificial Intelligence,Zhengzhou University,Zhengzhou 450001,Henan,China ^[2] Department of Statistics,University of Illinois at Urbana-Champaign,Champaign,U.S.A ^[3] Department of Epidemiology and Biostatistics,College of Public Health,Zhengzhou University,Zhengzhou 450001,Henan,China;NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases,Zhengzhou 450001,Henan,China ^[4]

栏目名称 Letters to the Editor

DOI 10.3967/bes2023.069

发布时间 2023-07-19

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