About this document
CHD Prediction Model Using LightGBM by shinyyy2303 is a document available to read on EtoBox.
The document outlines a study on predicting coronary heart disease (CHD) using an optimized LightGBM classifier, named HY_OptGBM, which incorporates advanced hyperparameter optimization through the OPTUNA framework and an improved focal loss function. The proposed model achieved an AUC of 97.9%, demonstrating superior predictive accuracy compared to traditional methods, and aims to enhance early detection of CHD, potentially reducing healthcare costs. The document also includes a comprehensive literature su
- Author
- shinyyy2303
- Language
- EN