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A risk prediction model for type 2 diabetes mellitus complicated with retinopathy based on machine learning and its application in health management.

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第一作者： Hong,Pan

第一单位： Department of Health Management, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

作者： Hong,Pan ^[1] ; Jijia,Sun ^[2] ; Xin,Luo ^[1] ; Heling,Ai ^[3] ; Jing,Zeng ^[3] ; Rong,Shi ^[3] ; An,Zhang ^[1]

作者单位： Department of Health Management, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China. ^[1] Department of Mathematics and Physics, School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China. ^[2] Department of Public Utilities Management, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China. ^[3]

关键词 backpropagation neural network (BPNN) model diabetic retinopathy extreme gradient boosting (XGBoost) algorithm least absolute shrinkage selection operator (LASSO) model nomogram random forest recursive feature elimination (RF-RFE) algorithm

DOI 10.3389/fmed.2023.1136653

PMID 37181375

发布时间 2025-08-28

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A risk prediction model for type 2 diabetes mellitus complicated with retinopathy based on machine learning and its application in health management.

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A risk prediction model for type 2 diabetes mellitus complicated with retinopathy based on machine learning and its application in health management.

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