A Framework for Diagnosing Kidney Disease in Diabetes Patients Using Classification Algorithms
Author:
Publisher
Springer Science and Business Media LLC
Link
http://link.springer.com/content/pdf/10.1007/s42979-020-0096-7.pdf
Reference32 articles.
1. Chen M, Hao Y, Hwang K, Wang L, Wang L. Disease prediction by machine learning over big data from health care communities. IEEE Access. 2017;5:8869–79.
2. Rahman RM, Afroz F. Comparison of various classification techniques using different data mining tools for diabetes diagnosis. J Softw Eng Appl. 2013;6:p85–97.
3. Nagarajan S, Chandrasekaran RM. Design and implementation of expert clinical system for diagnosing diabetes using data mining techniques. Indian J Sci Technol. 2015;8(8):771–6.
4. Yldma EG, Karahocaa A, Uçara Tamer. Dosage planning for diabetes patients using data mining methods. Procedia Comput Sci. 2011;3:1374–80.
5. Garga SB, Mahajanb AK, Kamal TS. An approach for diabetes detection using data mining classification techniques. Int J Eng Sci. 2017;465:202–18.
Cited by 20 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. Deep Learning for Automated Classification of Kidney Lesions in Chronic Kidney Disease Patients;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23
2. Early Prediction of Diabetes Using Feature Selection and Machine Learning Algorithms;SN Computer Science;2024-01-20
3. Machine Learning Based Personalized Treatment Plans for Chronic Conditions;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04
4. CRAFT: Chronic Renal Disease prediction using artificial neural network with feature selection technique;AIP Conference Proceedings;2024
5. Kidney Impairment Prediction Due to Diabetes Using Extended Ensemble Learning Machine Algorithm;Journal of Machine and Computing;2023-07-05
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