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 model to predict Heart Disease Prediction.

A service to connect patients and doctors.

Identification system for the molecular basis of coronary heart disease powered by AI ( Artificial Intelligence ) and machine learning algorithms.

Classification Model (End to End Classification of Heart Disease - UCI Data Set)

A tool for predicting Heart Disease probability based on ML model

Classification models for heart disease prediction

Predicting Mortality among a Cohort of patients with Heart Failure

This is a blog of how machine learning algorithms are used to detect if a person is prone to heart disease or not.

A comprehensive exploration of machine learning techniques and data science best practices applied to the UCI Heart Disease dataset. Focusing on data preprocessing, exploratory analysis, and predictive modelling to identify key factors in heart disease. Part of Big Data Management and Analytics (BDMA) program.

My effort has been to do this project with logistic regression

This is a machine learning project that uses various machine learning alogorithms to predict whether a patient is suffering from heart disease or not. Here I am using variour machine learning algorithms like Random Forest classifier, XGBClassifier, GaussianNB, Decision Tree Classifier, K-Nearest Neighbours and Logistic Regression.

CARDIOsetu is a web application designed to monitor individual heart health. It uses API integration to enable voice-to-text input for accessibility, making it easier for individuals with verbal and visual disabilities to interact with the app.

Heart Failure/Heart Disease Prediction through Statistical Analysis and Machine Learning

This project analyzed patient clinical data to identify risk factors for heart disease using Extreme Learning Machine (ELM). With a dataset that includes 12 health features, the project aims to find patterns that can aid early detection.

Machine learning project seeks to identify patterns to determine if a certain patient has heart disease

A machine learning application, deployed using Flask, is designed to identify the presence of heart disease in patients by analyzing various medical features.

Heart Disease Classification with Python

A jupyter notebook walking through implementing rudimentary logistic regression. Dataset downloaded from Kaggle