# 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")
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:

# Contributing

Read here how you can contribute to this package.

# Development

FeatureExtraction is being developed in R Studio.

# Acknowledgements

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