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Prediction of chronic kidney disease using urinary dielectric properties and support vector machine

  • Published:2016-07-02 Issue:3 Volume:50 Page:201-213
  • ISSN:0832-7823
  • Container-title:Journal of Microwave Power and Electromagnetic Energy
  • language:en
  • Short-container-title:Journal of Microwave Power and Electromagnetic Energy

Author:

Mun Peck Shen,Ting Hua Nong,Mirhassani Seyed Mostafa,Ong Teng Aik,Wong Chew Ming,Chong Yip Boon

Funder

University of Malaya

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Metals and Alloys,Condensed Matter Physics,Ceramics and Composites,Electronic, Optical and Magnetic Materials

Cited by 11 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. The Impact of Cold Storage on the Microwave Dielectric Properties of Normal Human Urine;2023 IEEE MTT-S International Microwave Biomedical Conference (IMBioC);2023-09-11

2. Hybrid classification framework for chronic kidney disease prediction model;The Imaging Science Journal;2023-06-22

3. A survey on data mining and machine learning techniques for diagnosing hepatitis disease;International Journal of Biomedical Engineering and Technology;2023

4. Artificial Intelligence-Based Chronic Kidney Disease Prediction—A Review;Proceedings of Third International Conference on Sustainable Expert Systems;2023

5. Design a Linear Classification model with Support Vector Machine Algorithm on Autoimmune Disease data;2022 3rd International Conference on Intelligent Engineering and Management (ICIEM);2022-04-27
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