Heart Disease Predictor

Overview

This project is a heart disease predictor implemented using Jupyter Notebook with Java kernel. The predictor utilizes machine learning algorithms to analyze patient data and predict the likelihood of heart disease.

Features

• Utilizes Java libraries for machine learning.
• Accepts input data about various medical parameters.
• Predicts the likelihood of heart disease based on input parameters.
• 85% + Accuracy!

Usage

1. Open the Jupyter Notebook containing the heart disease predictor.
2. Follow the instructions within the notebook to input medical parameters.
3. Run the notebook cells to execute the predictor.
4. View the prediction results to determine the likelihood of heart disease.