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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file aumcdb_meds-0.0.2.tar.gz.
File metadata
- Download URL: aumcdb_meds-0.0.2.tar.gz
- Upload date:
- Size: 17.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c600383825704aa0be9671289dc2597366f0191c38d7075c87d576cae758b2bf
|
|
| MD5 |
c084e9d96833c934430437677275a6e1
|
|
| BLAKE2b-256 |
c04b6df9d091ebbf3f3b1c0836b5ccb1644b08490340a068a84539556bceff44
|
Provenance
The following attestation bundles were made for aumcdb_meds-0.0.2.tar.gz:
Publisher:
python-build.yaml on prockenschaub/AUMCdb_MEDS
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
aumcdb_meds-0.0.2.tar.gz -
Subject digest:
c600383825704aa0be9671289dc2597366f0191c38d7075c87d576cae758b2bf - Sigstore transparency entry: 195389170
- Sigstore integration time:
-
Permalink:
prockenschaub/AUMCdb_MEDS@d8d6d87573180243f11c9904fb59e9d9b7f3b1a5 -
Branch / Tag:
refs/tags/0.0.2 - Owner: https://github.com/prockenschaub
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-build.yaml@d8d6d87573180243f11c9904fb59e9d9b7f3b1a5 -
Trigger Event:
push
-
Statement type:
File details
Details for the file aumcdb_meds-0.0.2-py3-none-any.whl.
File metadata
- Download URL: aumcdb_meds-0.0.2-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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7e3d7edb9552b4be7dadf45642f5005b58d1b74928cbc70d72b2cc7861b19a63
|
|
| MD5 |
b6bc024e2bb341bbeb7ad8cee5a848ed
|
|
| BLAKE2b-256 |
f899af5ca143d91f18e5681e2e5a0b98acc3986bf45b811ed1468842cc6877ac
|
Provenance
The following attestation bundles were made for aumcdb_meds-0.0.2-py3-none-any.whl:
Publisher:
python-build.yaml on prockenschaub/AUMCdb_MEDS
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
aumcdb_meds-0.0.2-py3-none-any.whl -
Subject digest:
7e3d7edb9552b4be7dadf45642f5005b58d1b74928cbc70d72b2cc7861b19a63 - Sigstore transparency entry: 195389171
- Sigstore integration time:
-
Permalink:
prockenschaub/AUMCdb_MEDS@d8d6d87573180243f11c9904fb59e9d9b7f3b1a5 -
Branch / Tag:
refs/tags/0.0.2 - Owner: https://github.com/prockenschaub
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-build.yaml@d8d6d87573180243f11c9904fb59e9d9b7f3b1a5 -
Trigger Event:
push
-
Statement type: