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.

JMIR public health and surveillance(2023)

引用 0|浏览2
暂无评分
摘要
The combination of ML and logistic regression yielded a practical carotid plaque prediction model, and was of great public health implications in the early identification and risk assessment of carotid plaque among individuals with fatty liver.
更多
查看译文
关键词
machine learning, carotid plaque, health check-up, prediction, fatty liver, risk assessment, risk stratification, cardiovascular, logistic regression
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要