An innovative model for predicting coronary heart disease using triglyceride-glucose index: a machine learning-based cohort study

An innovative model for predicting coronary heart disease using triglyceride-glucose index: a machine learning-based cohort study

Abstract Background Various predictive models have been developed for predicting the incidence of coronary heart disease (CHD), but none of them has had optimal predictive value. Although these models consider diabetes as an important CHD risk factor, they do not consider insulin resistance or trigl...

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Bibliographic Details
Main Authors: Seyed Reza Mirjalili, Sepideh Soltani, Zahra Heidari Meybodi, Pedro Marques-Vidal, Alexander Kraemer, Mohammadtaghi Sarebanhassanabadi
Format: Article
Language:English
Published: BMC 2023-08-01
Series:Cardiovascular Diabetology
Subjects:
TyG-index
Coronary heart disease
Machine learning
Cohort study
Predictive model
Online Access:https://doi.org/10.1186/s12933-023-01939-9

Internet

https://doi.org/10.1186/s12933-023-01939-9

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