Comparison of LASSO and random forest models for predicting the risk of premature coronary artery disease

Comparison of LASSO and random forest models for predicting the risk of premature coronary artery disease

Abstract Purpose With the change of lifestyle, the occurrence of coronary artery disease presents a younger trend, increasing the medical and economic burden on the family and society. To reduce the burden caused by this disease, this study applied LASSO Logistic Regression and Random Forest to esta...

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Bibliographic Details
Main Authors: Jiayu Wang, Yikang Xu, Lei Liu, Wei Wu, Chunjian Shen, Henan Huang, Ziyi Zhen, Jixian Meng, Chunjing Li, Zhixin Qu, Qinglei he, Yu Tian
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Premature coronary artery disease
Lasso
Random forest
Risk prediction
Online Access:https://doi.org/10.1186/s12911-023-02407-w

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