Prajwalamin / heart-attack-mortality-classification

Predicting the 1-year patient mortality following a heart attack using machine learning. Explore features related to patient health, medical history, and treatment to build a model for classifying the risk of mortality within the first year post-heart attack.

Heart Attack Mortality Classification

Overview

This repository contains the code and documentation for a machine learning project focused on classifying 1-year patient mortality following a heart attack. The goal is to leverage machine learning techniques to analyze patient data and predict the likelihood of mortality within the first year post-heart attack.

Requirements

• Python 3.x
• Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, etc. (Specify versions in requirements.txt or environment.yml)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/heart-attack-mortality-classification.git
   cd heart-attack-mortality-classification

2. Install dependencies:

   pip install -r requirements.txt