Heart Failure: predicting hospital re-admission after 6 months

Project for the Statistical Learning for Healthcare Data course held at Politecnico di Milano in the academic year 2022-2023 by Professor Manuela Ferrario and Professor Anna Maria Paganoni.

🏆 This was the highest ranking project in its year batch.

Table of contents

• Installing
  • Prerequisites
  • Cloning the Repository
  • Installing the Libraries
• Usage
• Results
• Authors

Installing

Prerequisites

• Python 3.x
• Pip (for installing Python libraries)

Cloning the Repository

1. Clone the repository to your local machine using the following command:

git clone https://github.com/teobucci/slhd

2. Navigate to the project directory using the following command:

cd slhd

Installing the Libraries

Using Pip

1. Install the required libraries by running the following command:

pip install -r requirements.txt

Using Conda

1. Create a new Conda environment for the project by running the following command:

conda create --name slhd python=3.x

2. Activate the Conda environment by running the following command:

conda activate slhd

3. Install the required scientific libraries using Conda by running the following command:

conda install --file requirements.txt

Usage

The file main.ipynb contains all the analysis.

The final web app is available here.

Results

Check out the final report.pdf and the final presentation.pdf.

Authors

• Teo Bucci (@teobucci)
• Giulia Montani (@GiuliaMontani)
• Alice Traversa (@AliceTraversa)