A machine learning project that classifies heart disease using clinical data. It includes data preprocessing, model training, evaluation, and visualization in a Jupyter Notebook.

A machine learning-powered REST API for predicting the presence of heart disease based on patient clinical data. Built using FastAPI and Dockerized for easy deployment. The final model uses a tuned Support Vector Machine (SVM) pipeline trained on healthcare data.

Final year capstone project for heart disease detection using a multi-modal approach. We trained separate ML models on ECG, PCG, and PPG signals and fused their confidence scores using a mathematical method to provide a more accurate and holistic risk assessment. Project Members: Anandakrishnan A and Aryan Matte

Bachelor Thesis in Biomedical Engineering about Myocardial Ischemia Detection Using DWT Feature Extraction and Artificial Neural Networks Classifier

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.

Heart disease classification using machine learning algorithms with hyperparameter tuning for optimized model performance. Algorithms include XGBoost, Random Forest, Logistic Regression, and moreto find the best model for accurate heart disease prediction.

R | Classification Project

Heart Disease Classification Machine Learning Project

Generate a Machine Learning model which is capable of predicting whether a person has heart disease or not, based on the medical attributes of the person.

A GUI window that implements a classification model to predict whether a patient have heart disease or not.

Heart disease analysis and prediction using Machine Learning.

Detección de cardiopatías en pacientes mediante el uso de datos clínicos utilizando técnicas de Machine Learning y Deep Learning.

Streamlit web app to classify heart disease risk using a trained machine learning pipeline.

Heart Disease Prediction using SVM Classifier in Python

Building, Training, Testing, and Validating a Multi Layer Perceptron

Prédire si un individu est atteint ou non de maladie cardiaque.

AI07 - Heart Disease Classification

Heart disease prediction on UCI Cleveland database using ensemble learning

This project aims to classify /predict the occurrence of Heart disease using Machine learning models.