Skip to main content

A Unified Medical Language System® Metathesaurus study for the Cumulus project

Project description

Cumulus Library UMLS

An installation of the Unified Medical Language System® Metathesaurus®. Part of the SMART on FHIR Cumulus Project

For more information, browse the documentation.

Usage

In order to use the Metathesaurus, you'll need to get an API key for access from the National Library of Medicine, which you can sign up for here.

You can then install this module by running pip install cumulus-library-umls.

This will add a umls target to cumulus-library. You'll need to pass your API key via the --umls-key CLI flag, or set the UMLS_API_KEY environment variable to the key you received from NIH.

This ends up being a fairly intensive operation - we download a large file, extract it, create parquet files from Athena, and then upload it. It usually takes a half hour to run. We try to preserve some of those artifacts along the way to make rebuilds faster. If you need to force recreation from scratch, the --force-upload CLI flag will handle this.

Note: This study is explicitly namespaced in its own schema, umls. Make sure your database is not using this schema for another use. Do not create tables inside this schema by another means.

Licensing details

The cumulus-library-umls study is provided as a convenience to install the UMLS Metathesaurus, but is not shipped with the Metathesaurus dataset. It will require an API key to download the data from NIH directly.

As a reminder, the License Agreement for Use of the UMLS® Metathesaurus® provides several restrictions on this usage of this data (including distributing the dataset). When you sign up for a UMLS key, you are assuming responsibility for complying with these terms, or an alternate licensing agreement with the owner of the Metathesaus data if you are provided with one.

Citations

Bodenreider O. The Unified Medical Language System (UMLS): integrating biomedical terminology. Nucleic Acids Res. 2004 Jan 1;32(Database issue):D267-70. doi: 10.1093/nar/gkh061. PubMed PMID: 14681409; PubMed Central PMCID: PMC308795.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cumulus_library_umls-0.2.0.tar.gz (5.0 kB view details)

Uploaded Source

Built Distribution

cumulus_library_umls-0.2.0-py3-none-any.whl (5.4 kB view details)

Uploaded Python 3

File details

Details for the file cumulus_library_umls-0.2.0.tar.gz.

File metadata

  • Download URL: cumulus_library_umls-0.2.0.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for cumulus_library_umls-0.2.0.tar.gz
Algorithm Hash digest
SHA256 d307116985d642730527843a56a300d312ba5533325c8683d9a401769149a653
MD5 88a9923fd396060612cb161b24d528ed
BLAKE2b-256 fc15b92331cd8ea1fad7cf53470cf065dada87e30fa87c5c862f9e7efde201c1

See more details on using hashes here.

File details

Details for the file cumulus_library_umls-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for cumulus_library_umls-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e49fa822dfcef92dc9db78a1e7752f5b670a28bd5a56ce166eec888def893d7d
MD5 1a78f9549901375260cea3fc6dd8349d
BLAKE2b-256 909a4919787fd8f55061ba0b8ff2622e4c85fae8b70e85e1c882f24bbe4ae99b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page