Library and CLI for randomly generating medical data like you might get out of an Electronic Health Records (EHR) system. It is intended for generating data for demos and testing ETL / cohort generation/ data management tools.
BadMedicine differs from other random data generators e.g. Mockaroo, SQL Data Generator etc in that data generated is based on (simple) models generated from live EHR datasets collected for over 30 years in Tayside and Fife (UK). This makes the data generated recognisable (codes used, frequency of codes etc) from a clinical perspective and representative of the problems (ontology mapping etc) that data analysts would encounter working with real medical data..
See the version list below for details.
Install-Package HIC.BadMedicine -Version 0.0.0.1
dotnet add package HIC.BadMedicine --version 0.0.0.1
<PackageReference Include="HIC.BadMedicine" Version="0.0.0.1" />
paket add HIC.BadMedicine --version 0.0.0.1
#r "nuget: HIC.BadMedicine, 0.0.0.1"
// Install HIC.BadMedicine as a Cake Addin #addin nuget:?package=HIC.BadMedicine&version=0.0.0.1 // Install HIC.BadMedicine as a Cake Tool #tool nuget:?package=HIC.BadMedicine&version=0.0.0.1
NuGet packages (4)
Showing the top 4 NuGet packages that depend on HIC.BadMedicine:
Core package for plugin development
Package for writing plugin tests
UI package for plugin development
Generate large volumes of complex (in terms of tags) dicom images for integration/stress testing ETL and image management tools. BadMedicine.Dicom generates dicom images on demand based on an anonymous aggregate model of tag data found in scottish medical imaging with a small memory footprint.
This package is not used by any popular GitHub repositories.