Predicting Coronary Heart Disease Using an Improved LightGBM Model: Performance Analysis and Comparison

Predicting Coronary Heart Disease Using an Improved LightGBM Model: Performance Analysis and Comparison

Coronary heart disease (CHD) is a dangerous condition that cannot be completely cured. Accurate detection of early coronary artery disease can assist physicians in treating patients. In this study, a prediction model called HY_OptGBM was proposed for predicting CHD by using the optimized...

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Bibliographic Details
Main Authors: Huazhong Yang, Zhongju Chen, Huajian Yang, Maojin Tian
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Coronary heart disease
hyperparameter optimization
LightGBM
loss function
machine learning
OPTUNA
Online Access:https://ieeexplore.ieee.org/document/10063850/

Internet

https://ieeexplore.ieee.org/document/10063850/

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