Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier
Author:
Affiliation:
1. Electronics and Computer Discipline, DPT, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
2. Department of Physics, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
Funder
Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates, under the Khalifa University Research Internal Fund
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/ielx7/6287639/10005208/10196339.pdf?arnumber=10196339
Reference81 articles.
1. A Novel Architecture for Diabetes Patients’ Prediction Using K-Means Clustering and SVM
2. An Efficient Strategy for Blood Diseases Detection Based on Grey Wolf Optimization as Feature Selection and Machine Learning Techniques
3. INTELLIGENT DEEP LEARNING BASED PREDICTIVE MODEL FOR CORONARY HEART DISEASE AND CHRONIC KIDNEY DISEASE ON PEOPLE WITH DIABETES MELLITUS
4. PID Control Design Using AGPSO Technique and Its Application in TITO Reverse Osmosis Desalination Plant
5. Classification and Feature Selection Method for Medical Datasets by Brain Storm Optimization Algorithm and Support Vector Machine
Cited by 7 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. A Biomedical Dataset Analysis on Predictive Modeling of Chronic Kidney Disease Using Machine Learning;Advances in Computational Intelligence and Robotics;2024-08-30
2. ML-Based Chronic Kidney Disease and Diabetes Prediction with Feature Effect Analysis Using SHAP;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02
3. A comprehensive review of explainable AI for disease diagnosis;Array;2024-07
4. A deep learning‐based multivariate decomposition and ensemble framework for container throughput forecasting;Journal of Forecasting;2024-05-14
5. Disease Prognosis Using Artificial Intelligence Neural Networks;Journal of Artificial Intelligence and Capsule Networks;2024-03
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