It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

Heart Disease prediction using 5 algorithms

Heart disease classifier web app

Medical Diagnosis A Machine Learning Based Web Application

Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"

Intelligent Python service with FastAPI for real-time heart disease predictions using machine learning. Features AI-assisted consultations, user authentication, analysis history, RESTful API, and comprehensive error handling. Secure and scalable solution for healthcare applications.

Heart disease prediction system Project using Machine Learning with Code and Report

Heart Disease Analysis repository

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

A Django App for predicting Heart disease, Diabetes and Breast Cancer developed using Random Forest Classifier and KNN.

Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.

The objective of this project is to detect whether person has any chance of heart disease or not by giving number of features to person with having maximum accuracy of above 97%. By Using Machine learning algorithms and deep learning are applied to compare the results and analysis of the UCI Machine Learning Heart Disease dataset.

Machine Learning project to predict heart diseases

🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient dataset with 13 medical features. Complete ML pipeline from data exploration to model evaluation.

The AI-Powered Healthcare Intelligence Network is an AI-driven system offering disease prediction, drug recommendations, heart disease risk assessment, and an AI medical chatbot. Using ML, NLP, and LLMs, it provides accurate diagnoses, insights, and recommendations, enhancing healthcare accessibility, efficiency, and decision-making .

Final year project (Heart disease prediction using machine learning techniques)