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FeatureExtraction is part of HADES.

Introduction

An R package for generating features (covariates) for a cohort using data in the Common Data Model.

Features

  • Takes a cohort as input.
  • Generates baseline features for that cohort.
  • Default covariates include all drugs, diagnoses, procedures, as well as age, comorbidity indexes, etc.
  • Support for creating custom covariates.
  • Generate paper-ready summary table of select population characteristics.

Technology

FeatureExtraction is an R package, with some functions implemented in C++.

System Requirements

Requires R (version 3.2.2 or higher). Installation on Windows requires RTools. FeatureExtraction require Java.

Getting Started

  1. See the instructions here for configuring your R environment, including RTools and Java.

  2. In R, use the following commands to download and install FeatureExtraction:

install.packages("drat")
drat::addRepo("OHDSI")
install.packages("FeatureExtraction")

User Documentation

The documentation website can be found at https://ohdsi.github.io/FeatureExtraction/. PDF versions of the vignettes and package manual are here:

These vignettes are also available in Korean:

Support

Contributing

Read here how you can contribute to this package.

License

FeatureExtraction is licensed under Apache License 2.0

Development

FeatureExtraction is being developed in R Studio.

Development status

Ready for use

Acknowledgements

  • This project is supported in part through the National Science Foundation grant IIS 1251151.