Achilles Data Source Characterization

Automated Characterization of Health Information at Large-Scale Longitudinal Evidence Systems. Creates a descriptive statistics summary for an Observational Medical Outcomes Partnership Common Data Model standardized data source. This package includes functions for executing summary queries on the specified data source and exporting reporting content for use across a variety of Observational Health Data Sciences and Informatics community applications.


Achilles

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Achilles is part of HADES.

Introduction

Automated Characterization of Health Information at Large-Scale Longitudinal Evidence Systems (ACHILLES) Achilles provides descriptive statistics on an OMOP CDM database. ACHILLES currently supports CDM version 5.3 and 5.4.

Features

  • Performs broad database characterization
  • Export feature for ARES
  • Export feature for AchillesWeb (deprecated)

Technology

Achilles is an R package.

System Requirements

Requires R (version 4.0 or higher).

Installation

  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 Achilles:

install.packages("remotes")
remotes::install_github("OHDSI/Achilles")

User Documentation

Documentation can be found on the package website.

Support

Contributing

Read here how you can contribute to this package.

License

Achilles is licensed under Apache License 2.0

Development

Achilles is being developed in R Studio.

Development status

Achilles is ready for use.

Acknowledgements

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

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("Achilles")

1.7.2 by Frank DeFalco, 3 years ago


Browse source code at https://github.com/cran/Achilles


Authors: Frank DeFalco [aut, cre] , Patrick Ryan [aut] , Martijn Schuemie [aut] , Vojtech Huser [aut] , Chris Knoll [aut] , Ajit Londhe [aut] , Taha Abdul-Basser [aut] , Anthony Molinaro [aut] , Observational Health Data Science and Informatics [cph]


Documentation:   PDF Manual  


Apache License license


Imports SqlRender, dplyr, jsonlite, ParallelLogger, readr, data.table, lubridate, tseries, rlang

Depends on DatabaseConnector

Suggests DT, magrittr, tidyr, knitr, rmarkdown, testthat, withr


See at CRAN