/JH-Engineering-Jagiellonian-MedTech

Medical Data Analysis Using R: Foundational Approach and Development Model. Applications scripts for executions, data analysis, blockchain integrations, and a variety of associated use case implementatiions.

Primary LanguageR

🌯 Medical Technical Solutions: Multi Model with Dynamic Approaches

This repository contains Python, Typesctipt, and R scripts designed for medical data analysis. The script is built to handle real-world medical data, focusing on patient information related to various conditions and treatments.

Features: R Script

  • Data Pre-processing: Cleans and filters out irrelevant or incomplete records.
  • Exploratory Data Analysis (EDA): Provides summary statistics and basic analyses.
  • Data Visualization: Includes a bar chart visualizing the count of patients by medical condition and treatment type.

Requirements

You'll need to have R and the 'tidyverse' package installed to run this script.

Usage

To run the script, navigate to the repository directory and execute the R script using R or RStudio.

Data Source

The data used in this repository are sourced from a comprehensive medical database, anonymized to protect patient confidentiality.

Contribution

As this is a proto and documentation repo that is very much still early stage, we wouldn't want to waste ayone's time when there's better things to contribute to. It will remain open source through casual development, and when the time come that contributions would be a benefit to a counter party, we will open up for pull requests...