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

2. 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

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

4. The usage of internet of things in healthcare: A review of mechanisms, platforms, and opportunities from a new perspective;Journal of Intelligent & Fuzzy Systems;2023-07-02

5. Early Stage Chronic Kidney Disease Prediction using Convolution Neural Network;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04

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