Detection of Chronic Kidney Disease Using Machine Learning Approach-Reference-Cited by-同舟云学术

Detection of Chronic Kidney Disease Using Machine Learning Approach

Published:2022-12-04 Issue: Volume: Page:
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Container-title:2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)
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Author:

Gollapalli Mohammed¹,Saad Bashayr²,Alabdulkarim Jomana²,Sendi Razan²,Alsabt Reema²,Alsharif Sarah²

Affiliation:

1. College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University,Department of Computer Information Systems,Dammam,Saudi Arabia,31441

2. College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University,Department of Computer Engineering,Dammam,Saudi Arabia,31441

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10008224/10008233/10008293.pdf?arnumber=10008293

Reference18 articles.

1. Ensemble Machine Learning Model to Predict the Waterborne Syndrome

2. A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: Pre-diabetes, T1DM, and T2DM

3. Literature Review of Attribute Level and Structure Level Data Linkage Techniques

4. Task Failure Prediction Using Machine Learning Techniques in the Google Cluster Trace Cloud Computing Environment

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