Support Vector Machine (SVM) and Artificial Neural Networks (ANN) based Chronic Kidney Disease Prediction
Author:
Affiliation:
1. New Horizon College of Engineering,Department of MCA,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10083318/10083503/10083622.pdf?arnumber=10083622
Reference15 articles.
1. A hybrid approach for breast cancer classification and diagnosis;sahu;EAI Endorsed Transactions on Scalable Information Systems,2019
2. Chronic Kidney Disease
3. Intelligent health risk prediction systems using machine learning: a review
4. Performance comparison of some classifiers on Chronic Kidney Disease data
5. Chronic kidney disease: global dimension and perspectives
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2. A Machine Learning Perspective for Predicting Chronic Kidney Disease;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
3. Comparing Support Vector Machines and Neural Networks for Cardiac Arrest Risk Prediction;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15
4. Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review;IEEE Access;2024
5. Machine Learning Predictive Model for Chronic Kidney Disease Classification Using Python;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29
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