/slhd

Project for the Statistical Learning for Healthcare Data course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).

Primary LanguageJupyter Notebook

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

  • 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
  1. 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
  1. Activate the Conda environment by running the following command:
conda activate slhd
  1. Install the required scientific libraries using Conda by running the following command:
conda install --file requirements.txt

Usage

Binder

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