Skip to main content

A template ETL pipeline to extract AUMCdb data into the MEDS format.

Project description

AUMCdb MEDS Extraction ETL

This pipeline extracts the AUMCdb dataset into MEDS format. The AUMCdb dataset is a publicly available dataset from the Amsterdam University Medical Centers (AUMC) that contains clinical data from the hospital. You first need to request access here.

Usage:

pip install AUMCdb_MEDS
MEDS_extract-AUMCdb input_dir=$RAW_DATA_DIR output_dir=$MEDS_DIR

If you want, you can also use the do_download flag to download the data directly from the AUMCdb repository. You need to set the AUMCDB_API_KEY environment variable to your API key. Please get it from here: AUMCdb API Key

export AUMCDB_API_KEY=your_api_key
MEDS_extract-AUMCdb input_dir=$RAW_DATA_DIR output_dir=$MEDS_DIR

This will download the dataset automatically for you.

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

aumcdb_meds-0.0.3.tar.gz (16.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aumcdb_meds-0.0.3-py3-none-any.whl (14.7 kB view details)

Uploaded Python 3

File details

Details for the file aumcdb_meds-0.0.3.tar.gz.

File metadata

  • Download URL: aumcdb_meds-0.0.3.tar.gz
  • Upload date:
  • Size: 16.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for aumcdb_meds-0.0.3.tar.gz
Algorithm Hash digest
SHA256 44b6d8abdcc7d1c781e383a8f9346dc4f0975ea2ac9b58677cc39be3377ff434
MD5 113ea307571f789bb3f0511702e19590
BLAKE2b-256 3c46d59ac79dab4ab650e682c086c39560ae4905ffd6ab844b1b28474ad9c021

See more details on using hashes here.

Provenance

The following attestation bundles were made for aumcdb_meds-0.0.3.tar.gz:

Publisher: python-build.yaml on prockenschaub/AUMCdb_MEDS

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file aumcdb_meds-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: aumcdb_meds-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 14.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for aumcdb_meds-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 c9a0a916d5d547e2bef09a5aea61017b2ddec7ce13faefd0334740d13a58d009
MD5 0d5e3fea4fdb955792d337cf8b75c804
BLAKE2b-256 fa312b041f30ea752e1edea933f933723dbcdc7152ed11960db6f77fc49fdef6

See more details on using hashes here.

Provenance

The following attestation bundles were made for aumcdb_meds-0.0.3-py3-none-any.whl:

Publisher: python-build.yaml on prockenschaub/AUMCdb_MEDS

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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