https://github.com/ashlinharris/mldemo

Machine Learning with Synthetic Health Records
https://github.com/ashlinharris/mldemo

Last synced: about 1 month ago
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Machine Learning with Synthetic Health Records

• Host: GitHub
• URL: https://github.com/ashlinharris/mldemo
• Owner: AshlinHarris
• Created: 2022-03-22T18:55:16.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-08-17T15:13:08.000Z (over 2 years ago)
• Last Synced: 2023-03-05T12:16:35.473Z (almost 2 years ago)
• Language: Julia
• Homepage:
• Size: 707 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 10
• Metadata Files:
  • Readme: README.md

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README

        
__This repository is deprecated!__

- General-purpose functions have been moved here: https://github.com/bcbi/PreprocessMD.jl

- The new (private) research pipeline is currently hosted here: https://github.com/bcbi/InformaticsPipeline

# MLDemo

Machine Learning with Synthetic Health Records

# Requirements

This tutorial was developed for the Synthea COVID-19 10K CSV data set: https://synthea.mitre.org/downloads.

The path of the directory containing these files needs to be saved in `config.ini`.

# Use

The script `main.jl` should run without issue after all dependencies are installed.

It produces the plots in the `Figures/` directory (needs to be specified locally in `config.ini`), but I have included these in the repository,

along with the standard output (`out.txt`).