An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine

Author:

Aswini J.1ORCID,Yamini B.2ORCID,Jatothu Rajaram3ORCID,Nayaki K. Sankara4ORCID,Nalini M.5ORCID

Affiliation:

1. Department of Computer Science and Engineering Sree Vidyanikethan Engineering College(Autonomous) Tirupati Andhra Pradesh India

2. Department of Networking and Communications, School of Computing, College of Engineering and Technology SRM Institute of Science and Technology(SRMIST) Kattankulathur Chengalpattu India

3. Computer Science and Engineering Teegala Krishna Reddy Engineering College Hyderabad India

4. ICS(India) Chennai India

5. Computer Science and Engineering, Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

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1. Comparison of Machine Learning Models for Chronic Kidney Disease Prediction using UCI dataset;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. HCDP-DELM: Heterogeneous chronic disease prediction with temporal perspective enabled deep extreme learning machine;Knowledge-Based Systems;2024-01

3. A Review: Analyzing Risk Factors and Prediction for Chronic Kidney Disease using Machine and Deep Learning Techniques;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

4. Automatic Intelligent Chronic Kidney Disease Detection in Healthcare 5.0;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

5. Statistical Modeling in Healthcare;AI and IoT-Based Technologies for Precision Medicine;2023-10-18

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