Explainable machine learning‐driven predictive modelling of incident cognitive impairment in individuals with early‐stage cardiovascular–kidney–metabolic syndrome: Insights from a longitudinal <scp>CHARLS</scp> cohort study
Shoupeng Duan(Wuhan University), Jun Wang(Macau University of Science and Technology), Xiaomeng Yang(Yunnan Academy of Agricultural Sciences), Yanan Xu(First Affiliated Hospital of Bengbu Medical College), Yijun Wang(Wuhan University)
Cited by 5
Related Papers
Therapeutic Role of Functional Components in Alliums for Preventive Chronic Disease in Human Being
|Evidence-based Complementary and Alternative Medicine|2017|156
Preventive and Therapeutic Role of Functional Ingredients of Barley Grass for Chronic Diseases in Human Beings
|Oxidative Medicine and Cellular Longevity|2018|138
Coevolution between Cancer Activities and Food Structure of Human Being from Southwest China
|BioMed Research International|2015|57
Efficacy of a WeChat-Based Multimodal Digital Transformation Management Model in New-Onset Mild to Moderate Hypertension: Randomized Clinical Trial
|Journal of Medical Internet Research|2023|34
Resistant Starch in Rice: Its Biosynthesis and Mechanism of Action Against Diabetes-Related Diseases
|Food Reviews International|2022|31