Volume 12, Issue 3

A COMPREHENSIVE CLASSIFICATION FRAMEWORK FOR CHRONIC KIDNEY DISEASE PREDICTION

Author

1Dr. Punyaban Patel, 2Madhuketan Palakurthy, 3Prithvi Ramakrishna, 4Rohith Choudhary

Abstract

Abstract:

Chronic kidney disease (CKD) is a serious medical condition that affects millions of people worldwide. Early detection and management of CKD are crucial in preventing its progression to end-stage renal disease (ESRD). Machine learning (ML) models have shown promise in predicting CKD and identifying patients at high risk of progression. A comprehensive classification framework for CKD prediction can help healthcare professionals in making accurate diagnoses and developing effective treatment plans. This proposed framework involves data collection and preprocessing, feature selection and engineering, model selection, training and evaluation, hyperparameter tuning, and testing and deployment. The framework can be customized based on the specific needs and resources of the healthcare organization

DOI

https://doi.org/10.62226/ijarst20230346

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