SQL generation for cumulus covid symptom analysis
Project description
Cumulus Library - Covid
A collection of tables for generating bioinfomatics data for studying COVID-19 symptoms. Part of the SMART on FHIR Cumulus Project
For more information, browse the documentation.
Usage
To install the module, simply run pip install cumulus-library-covid
.
This will add a covid_symptoms
study target to cumulus-library
.
Publications
The following publications leveraged this module:
A computable phenotype for patients with SARS-CoV2 testing that occurred outside the hospital Lijing Wang, Amy Zipursky, Alon Geva, Andrew J. McMurry, Kenneth D. Mandl, Timothy A. Miller JAMIA Open, 2023;, ooad047,doi: https://doi.org/10.1093/jamiaopen/ooad047
The SMART Text2FHIR Pipeline Timothy A. Miller, Andrew J. McMurry, James Jones, Daniel Gottlieb, Kenneth D. Mandl medRxiv 2023.03.21.23287499; doi: https://doi.org/10.1101/2023.03.21.23287499 (Preprint)
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
Hashes for cumulus_library_covid-0.2.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 93e097bb54c73aa08219c41fd41b30ea4677bd3c1db7ce24090df804520648df |
|
MD5 | 6a0a0a55b15f77ef08cbee1d4148da23 |
|
BLAKE2b-256 | 96695322f747e152e9adf90c5cc6c79fdaa9dfd415f032ee68aeb9f932e69c09 |
Hashes for cumulus_library_covid-0.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | db89a07f8701183be29a5cf415ccd9e0c079b15b95f8ad9c29c6a3e2c377fbaf |
|
MD5 | 1fbb085237b74f44d146035cab1b37ca |
|
BLAKE2b-256 | af823e3efcfc7f5df9e91f542614146f290b8b6a27d272a73672789c948ce24b |