Principal Component Analysis - A Useful Method for Osteoarthritis Diagnose

Betriebssysteme und Rechnernetzwerke

Introduction

This project was developed voluntarily during the summer semester 2023 and aims to prove the power of PCA in medical diagnose. The original code is not public yet under college policies, however the main algorithm can be found in the .pdf file on the repository.

Download the PDF document

Requirements

Hardware

Software

• R >= 4.2
• RStudio

Getting Started

Clone The Repository

git clone https://github.com/anacarsi/23ss-PCAOsteoarthritis.git
cd 23ss-PCAOsteoarthritis 

Create A Virtual Environment (optional):

With conda

conda create -n pcaoa
conda activate pcaoa

Install

Install the package

pip install -e .

Citation

@software{
    author = {Ana Carsi},
    title = {Principal Component Analysis: A Useful Method for Osteoarthritis Diagnose},
    month = mar,
    year = 2023,
    publisher = {GitHub},
    version = {0.1.0},
    url = {https://github.com/anacarsi/23ss-PCAOsteoarthritis}

}