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

BACKGROUND: Carotid plaque can progress into stroke, myocardial infarction, etc, which are major global causes of death. Evidence shows a significant increase in carotid plaque incidence among patients with fatty liver disease. However, unlike the high detection rate of fatty liver disease, screenin...

Descripción completa

Detalles Bibliográficos
Autores principales: Deng, Yuhan, Ma, Yuan, Fu, Jingzhu, Wang, Xiaona, Yu, Canqing, Lv, Jun, Man, Sailimai, Wang, Bo, Li, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514774/
https://www.ncbi.nlm.nih.gov/pubmed/37676713
http://dx.doi.org/10.2196/47095

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514774/
https://www.ncbi.nlm.nih.gov/pubmed/37676713
http://dx.doi.org/10.2196/47095

Ejemplares similares