multiple-disease-prediction

Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.

This project includes multiple disease prediction models for diabetes, Parkinson's disease, heart disease, and breast cancer.

A comprehensive machine learning-based web app for predicting multiple diseases from medical data.

Multiple Disease Prediction System

Multiple Disease Prediction System using Machine Learning. Predicts Parkinson's, Heart Disease, and Diabetes via a web interface powered by Logistic Regression, SVM, KNN, and Stacking Ensemble. Designed for early diagnosis and healthcare support.

It is a Streamlit web application that allows users to predict various diseases, including diabetes, heart disease, and multiple diseases based on provided symptoms and health parameters.

This is a Supervised Machine Learning model for predicting multiple diseases like heart disease, diabetes, etc.

this is combination of 3 different disease prediction system check readme for details

A powerful web application that leverages machine learning to predict multiple diseases from medical data.

This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.

Predict heart disease risk using patient data with a Python-based machine learning model and Flask web interface for real-time results.