This paper is in the following e-collection/theme issue:

Public Health Informatics (93) Clinical Information and Decision Making (1407) Cardiovascular Disease Prevention (137) Artificial Intelligence (1371) Machine Learning (1465) Computer-Aided Diagnosis (128) Decision Support for Health Professionals (1185)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47095, first published .
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

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

Authors of this article:

Yuhan Deng1, 2 Author Orcid Image ;   Yuan Ma3 Author Orcid Image ;   Jingzhu Fu4, 5, 6 Author Orcid Image ;   Xiaona Wang7 Author Orcid Image ;   Canqing Yu4, 5, 6, 8 Author Orcid Image ;   Jun Lv4, 5, 6, 8 Author Orcid Image ;   Sailimai Man2, 4, 5, 6 Author Orcid Image ;   Bo Wang2, 5, 8 Author Orcid Image ;   Liming Li4, 5, 6, 8 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Yuhan Deng   1, 2 , MSc ;   Yuan Ma   3 , PhD ;   Jingzhu Fu   4, 5, 6 , PhD ;   Xiaona Wang   7 , MSc ;   Canqing Yu   4, 5, 6, 8 , PhD ;   Jun Lv   4, 5, 6, 8 , PhD ;   Sailimai Man   2, 4, 5, 6 , PhD ;   Bo Wang   2, 5, 8 , PhD ;   Liming Li   4, 5, 6, 8 , MD

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

Corresponding Author: