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

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 triglyceride...

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Detalles Bibliográficos
Autores principales: Mirjalili, Seyed Reza, Soltani, Sepideh, Heidari Meybodi, Zahra, Marques-Vidal, Pedro, Kraemer, Alexander, Sarebanhassanabadi, Mohammadtaghi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403891/
https://www.ncbi.nlm.nih.gov/pubmed/37542255
http://dx.doi.org/10.1186/s12933-023-01939-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403891/
https://www.ncbi.nlm.nih.gov/pubmed/37542255
http://dx.doi.org/10.1186/s12933-023-01939-9

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