Predicting Coronary Heart Disease Using an Improved LightGBM Model: Performance Analysis and Comparison
Author:
Affiliation:
1. School of Computer Science, Yangtze University, Jingzhou, China
2. School of Mechanical Engineering, Dongguan College of Technology, Dongguan, China
3. School of Public Health, Zunyi Medical University, Zunyi, China
Funder
Hubei Provincial Education Department
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10063850.pdf?arnumber=10063850
Reference47 articles.
1. Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation
2. Correlation and sampling in relational data mining;jensen;Proc 33rd Symp Interface Comput Sci Statist,2001
3. Improvement in the Prediction of Coronary Heart Disease Risk by Using Artificial Neural Networks
4. hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost
5. Artificial Intelligence in Precision Cardiovascular Medicine
Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kauaʻi and Molokaʻi Islands, Hawaii;Expert Systems with Applications;2024-12
2. Deciphering the nonlinear and synergistic role of building energy variables in shaping carbon emissions: A LightGBM- SHAP framework in office buildings;Building and Environment;2024-12
3. Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease;Informatics and Health;2024-09
4. Exploring the predictive factors of heart disease using rare association rule mining;Scientific Reports;2024-08-06
5. Predicting Pump Inspection Cycles for Oil Wells Based on Stacking Ensemble Models;Mathematics;2024-07-17
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3