A machine learning approach to personalized predictors of dyslipidemia: a cohort study

INTRODUCTION: Mexico ranks second in the global prevalence of obesity in the adult population, which increases the probability of developing dyslipidemia. Dyslipidemia is closely related to cardiovascular diseases, which are the leading cause of death in the country. Therefore, developing tools that...

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Detalles Bibliográficos
Autores principales: Gutiérrez-Esparza, Guadalupe, Pulido, Tomas, Martínez-García, Mireya, Ramírez-delReal, Tania, Groves-Miralrio, Lucero E., Márquez-Murillo, Manlio F., Amezcua-Guerra, Luis M., Vargas-Alarcón, Gilberto, Hernández-Lemus, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548235/
https://www.ncbi.nlm.nih.gov/pubmed/37799151
http://dx.doi.org/10.3389/fpubh.2023.1213926

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548235/
https://www.ncbi.nlm.nih.gov/pubmed/37799151
http://dx.doi.org/10.3389/fpubh.2023.1213926

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