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Cited by in CrossRef
For: Zhou YY, Zhou TC, Chen N, Zhou GZ, Zhou HJ, Li XD, Wang JR, Bai CF, Long R, Xiong YX, Yang Y. Risk factor analysis and clinical decision tree model construction for diabetic retinopathy in Western China. World J Diabetes 2022; 13(11): 986-1000 [PMID: 36437866 DOI: 10.4239/wjd.v13.i11.986]
URL: https://www.wjgnet.com/1948-9358/full/v13/i11/986.htm
Number Citing Articles
1
Weiwei Pan, Tao Chen. Application of a Decision Tree Model for Predicting Diabetic Retinopathy2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) 2024; : 807 doi: 10.1109/IMCEC59810.2024.10575052
2
Jelena Tašić, Zsófia Nagy-Perjési, Márta Takács. Multilevel Fuzzy Inference System for Estimating Risk of Type 2 DiabetesMathematics 2024; 12(8): 1167 doi: 10.3390/math12081167
3
Fanlingzi Shen, Zhen Duan, Siyuan Li, Zhongzhi Gao, Rui Zhang, Xiangjin Gao, Bin Li, Ruiping Wang. Factors associated with a better treatment efficacy among psoriasis patients: a study based on decision tree model and logistic regression in Shanghai, ChinaBMC Public Health 2024; 24(1) doi: 10.1186/s12889-024-19468-9
4
Rehanguli Maimaitituerxun, Wenhang Chen, Jingsha Xiang, Yu Xie, Fang Xiao, Xin Yin Wu, Letao Chen, Jianzhou Yang, Aizhong Liu, Wenjie Dai. Predictive model for identifying mild cognitive impairment in patients with type 2 diabetes mellitus: A CHAID decision tree analysisBrain and Behavior 2024; 14(3) doi: 10.1002/brb3.3456