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.

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

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.

Heart Disease Prediction using SVM Classifier in Python

Prédire si un individu est atteint ou non de maladie cardiaque

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.

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

Klasifikasi penyakit jantung menggunakan algoritma Neural Network

AI07 - Heart Disease Classification