Comparing Machine Learning Techniques for Detecting Chronic Kidney Disease in Early Stage

MAR Rahat, MDT Islam, DM Cao… - Journal of …, 2024 - al-kindipublisher.com
In medical care, side effect trial and error processes are utilized for the discovery of hidden
reasons for ailments and the determination of conditions. In our exploration, we used a …

Triple Diseases Prediction System using Deep Learning Techniques

R Vijayan, V Mareeswari… - … Conference on Emerging …, 2024 - ieeexplore.ieee.org
With the existing deep learning models in predicting multiple diseases primarily focus on
analyzing individual diseases in isolation, lacking a unified system for multi-disease …

Prediction of Chronic Kidney Disease-A Machine Learning-Based Approach

R Hasan, I Ahmed, M Hasan, SMR Islam… - … for Innovations in …, 2023 - ieeexplore.ieee.org
In recent years, machine learning has played a substantial part in computer aided diagnosis
(CAD) by utilizing algorithms to analyze medical data and support healthcare professionals …

Machine Learning-Based Early Chronic Kidney Disease Detection and Risk Analysis

C Sakthi, G Yogeshwaran, V Sudha… - … for Sustainable Electric …, 2023 - ieeexplore.ieee.org
Chronic kidney disease (CKD) poses an extensive public health task globally, necessitating
accurate and early prediction for powerful intervention. In this investigation the predictive …

Development of Supervised Algorithm for Predicting Chronic Kidney Disease

A Sneha, JJ Justus - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD), also referred to as Chronic Nephritic Sickness, is a serious
condition caused by impairment of renal function. Higher levels of fluids and waste …

A Comprehensive Web Application for Chronic Kidney Disease Prediction with Cuisine-Centric Diet Recommendation

AD KG, S Saikrishnan, AJ Sudhakar… - … Conference on Self …, 2023 - ieeexplore.ieee.org
Despite advancements in detection and treatment, there exists a critical gap in patient care-
post-diagnosis guidance and support. In response to this challenge, our proposed work …