Early Stage Chronic Kidney Disease Prediction using Convolution Neural Network
Author:
Affiliation:
1. SANGAM UNIVERSITY,Department of CSE,Bhilwara
2. Sigma institute of Engineering,Gujrat
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10140172/10140203/10141322.pdf?arnumber=10141322
Reference15 articles.
1. Machine Learning Techniques for Chronic Kidney Disease Risk Prediction
2. Internet of Things and Wearables for Kidney Diseases
3. Ebola deep wavelet extreme learning machine based chronic kidney disease prediction on the internet of medical things platform
4. Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System
5. A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease
Cited by 4 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. Review on Different Types of Leaf Disease Detection Methods;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-08-25
3. Revolutionizing Early Diagnosis on a Multifaceted Approach to Chronic Kidney Disease Detection;Advances in Medical Technologies and Clinical Practice;2024-04-26
4. The Application of AutoML Techniques in Diabetes Diagnosis: Current Approaches, Performance, and Future Directions;Sustainability;2023-09-08
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