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

Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)

Deployed medical apps on streamlit

This one is advance version of the earlier one i.e Multiple disease prediction as we can run it just by cloning vs GitHub desktop and run it in vscode

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

heart disease diagnoses Chatbot

Today, heart failure diseases affect more people worldwide than other autoimmune conditions. Cardiovascular Diseases (CVDs) affect the heart and obstruct blood flow through the blood vessels. Chronic ailments in CVD include heart disease (heart attack), cerebrovascular diseases (strokes), congestive heart failure, and many more pathologies.

The Machine Learning APP for "2020-BRFSS-Codebook-CDC".

Multiple Disease Prediction Webapp using MachineLearning Deployed using steamlit

I had an opportunity to use data science and deploy a web-app on azure to predict the chances of heart diseases.

In this project I have created an Heart Diseases predictive model that can accurately predicts whether a person has heart disease or not based on some medical data.

In this project, I used a supervised ML model to create a Streamlit app that allows self-diagnosis.

This is a repository for a research project completed during the 2023 Florida State University Young Scholars Program. It investigates the application of federated learning to protect individual privacy during development of a machine learning model to diagnose heart disease.

Second project of computational intelligence course

Repository for multiple pattern recognition algorithm for heart disease prediction

A group project on cardiovascular disease prediction

Bayesian prediction for ❤️ diseases

An initiative to predict heart disease earlier using various parameters input to a machine learning model trained on a dataset.