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-0.0.1.tar.gz (16.9 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-0.0.1-py3-none-any.whl (14.6 kB view details)

Uploaded Python 3

File details

Details for the file aumcdb_meds-0.0.1.tar.gz.

File metadata

  • Download URL: aumcdb_meds-0.0.1.tar.gz
  • Upload date:
  • Size: 16.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for aumcdb_meds-0.0.1.tar.gz
Algorithm Hash digest
SHA256 0f8b0f085de7ab73a51e074759dea3e632d79fa70b06f9aeeede264d29395963
MD5 92eddddb29dc152ce5c0408950cf5908
BLAKE2b-256 140339c96651b8b77f83b4acfd5e4f08109e65858f34233eb569cbf366de86f9

See more details on using hashes here.

Provenance

The following attestation bundles were made for aumcdb_meds-0.0.1.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-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: aumcdb_meds-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 14.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for aumcdb_meds-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c8cd6f7e820b0f61c89e55a31934a87ba6e1f48f98506bd7294a8ec66d303c47
MD5 3cf17e3679d00078a504d65ebc7cd802
BLAKE2b-256 e1af49ec7c767a4b355ba60ad592320b61a7a976edba5db74b993eb9957eabea

See more details on using hashes here.

Provenance

The following attestation bundles were made for aumcdb_meds-0.0.1-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