Extreme Gradient Boosting and Soft Voting Ensemble Classifier for Diabetes Prediction
Author:
Affiliation:
1. Silicon Institute of Technology,Department of Computer Science & Engineering,Bhubaneswar,Odisha,India
2. Centurion University of Technology and Management,Department of Computer Science & Engineering,Jatani,Odisha,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9718564/9719325/09719569.pdf?arnumber=9719569
Reference20 articles.
1. Machine learning prediction of breast cancer survival using age, sex, length of stay, mode of diagnosis and location of cancer
2. Machine learning for prediction of diabetes risk in middle-aged Swedish people
3. Development and validation of the type 2 diabetes mellitus 10-year risk score prediction models from survey data
4. Short-term prediction of future continuous glucose monitoring readings in type 1 diabetes: Development and validation of a neural network regression model;lebechcichosz;Int J Med Inform,2021
5. Diabetes Prediction Using Machine Learning
Cited by 10 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. Enhancing Heart Disease Prediction and Analysis: An Efficient Voting Ensemble model;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09
2. Research and Implementation of Cloud-Based Intelligent Diagnosis Platform for Chronic Diseases;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15
3. Advancing Diabetes Prediction: An Ensemble Learning Method for Improved Accuracy using Soft Voting Classifier;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15
4. Software Development Effort Estimation Using UML Activity Models with Regression Analysis;Lecture Notes in Electrical Engineering;2024
5. Improving road safety with ensemble learning: Detecting driver anomalies using vehicle inbuilt cameras;Machine Learning with Applications;2023-12
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