Predictive model for identifying mild cognitive impairment in patients with type 2 diabetes mellitus: A CHAID decision tree analysis

ConclusionThe established decision tree model based on age, educational level, household income, regular physical activity, diabetic nephropathy, and diabetic retinopathy performed well with comparable predictive value compared to the multivariate logistic regression model and was internally validated. Due to its superior classification accuracy and simple presentation as well as interpretation of collected data, the decision tree model is more recommended for the prediction of MCI in T2DM patients in clinical practice.

Source: Brain and Behavior - March 7, 2024 Category: Neurology Authors: Rehanguli Maimaitituerxun, Wenhang Chen, Jingsha Xiang, Yu Xie, Fang Xiao, Xin Yin Wu, Letao Chen, Jianzhou Yang, Aizhong Liu, Wenjie Dai Tags: ORIGINAL ARTICLE Source Type: research