IEEE

Early Prediction of Heart Diseases Using Machine Learning Algorithms-A Review

Abstract: Predicting the onset of cardiovascular disease at an early stage using machine learning algorithms is the primary goal of this research. Improved model performance, reduced overfitting, ...
IEEE

NefroAI: An Explainable and Real-Time Framework for Predicting Chronic Kidney Disease Using Diverse Machine Learning Models and Different Feature Selection Techniques

Abstract: Chronic Kidney Disease (CKD) is a serious health condition that progresses silently, often going undiagnosed until it reaches critical stages. Early detection is vital, but traditional ...
GitHub

liver-disease-prediction

This repository consist of various machine learning models along with the dataset. The models are trained with widely used ML algorithms like Gradient Boost , Random Forest etc. Pickle is used to ...