R package to parse datasets into SQLite-friendly tables
-
Updated
Jun 4, 2021 - R
R package to parse datasets into SQLite-friendly tables
R package for finding patients in SQL databases using formulas and without using SQL joins
During the pandemic countries in the African region used data systems they built on top of the WHO Integrated Disease Surveillance and Response (IDSR) framework to track COVID-19 and formulate public health responses. Our IDSR project wrangles these data systems into instances of a common data model and conducts network research on top of them.
Federated summary algorithm for a RDB following the OMOP CDM and using Vantage6
OMOP2OBO: A Python Library for mapping OMOP standardized clinical terminologies to Open Biomedical Ontologies
Unlocking the Power of Health Data With a Modern Data Lakehouse
The web UI for Convert-Pheno, a software toolkit for the interconversion of standard data models for phenotypic data
A set of document templates facilitating efficient implementation and operation of an OMOP/OHDSI installation
Companion code repository to Marcou et al. 2024, Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy
The omop2survey Python package transforms standardized response codes from the OMOP CDM survey variables into numeric values and simplifies data preparation by providing functionalities for mapping and converting response codes, as well as handling missing data, facilitating easier and more reliable data analysis
A documentation-centric ETL tool, implementing transformations of a number of common clincial datasets into the OMOP CDM.
Add a description, image, and links to the omop-cdm topic page so that developers can more easily learn about it.
To associate your repository with the omop-cdm topic, visit your repo's landing page and select "manage topics."