A machine learning approach to personalized predictors of dyslipidemia: a cohort study.
Gutiérrez-Esparza G, Pulido T, Martínez-García M, Ramírez-delReal T, Groves-Miralrio LE, Márquez-Murillo MF, Amezcua-Guerra LM, Vargas-Alarcón G, Hernández-Lemus E.
Gutiérrez-Esparza G, et al.
Front Public Health. 2023 Sep 20;11:1213926. doi: 10.3389/fpubh.2023.1213926. eCollection 2023.
Front Public Health. 2023.
PMID: 37799151
Free PMC article.
Our primary objective was to identify potential factors associated with different types of dyslipidemia in both men and women. ...To facilitate feature selection, we applied the Variable Importance Measures (VIM) of Random Forest (RF), XGBoost, and Gradient Boosting …
Our primary objective was to identify potential factors associated with different types of dyslipidemia in both men and women. ...To …