Published on in Vol 9 (2023)
![Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Population-Based Cross-Sectional Study Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Population-Based Cross-Sectional Study](https://asset.jmir.pub/assets/5c5670206c368c3a2f14aaf090f9242e.png 480w,https://asset.jmir.pub/assets/5c5670206c368c3a2f14aaf090f9242e.png 960w,https://asset.jmir.pub/assets/5c5670206c368c3a2f14aaf090f9242e.png 1920w,https://asset.jmir.pub/assets/5c5670206c368c3a2f14aaf090f9242e.png 2500w)
1 Chongqing Research Institute of Big Data, Peking University, Chongqing, China
2 Meinian Institute of Health, Beijing, China
3 School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
4 Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
5 Peking University Health Science Center Meinian Public Health Institute, Beijing, China
6 Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
7 MJ Health Screening Center, Beijing, China
8 Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China