There are 4 repositories under omop topic.
OMOP2OBO: A Python Library for mapping OMOP standardized clinical terminologies to Open Biomedical Ontologies
A web application to find patients, build cohorts and visualize health records
OMOP standardization pipeline for ICU databases
eds-scikit is a Python library providing tools to process and analyse OMOP data
Extracting Patients' information from clinical notes and export them to an OMOP CDM database.
The PEDSnet Data Quality Assessment Toolkit (OMOP CDM)
Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data
Streamlined Data Mapping to OMOP
An ETL pipeline to transform your EMP data to OMOP.
omopcept : an R package to access OMOP conCEPTs (no cons!) and flexible tidyverse compatible R functions for querying and visualising.
A software toolkit for the interconversion of standard data models for phenotypic data
Research with the National COVID Cohort Collaborative (N3C: https://ncats.nih.gov/n3c)
Runs CQL phenotype definitions against an OMOP repository
Patient 'omics data in OMOP format
A documentation-centric ETL tool, implementing transformations of a number of common clincial datasets into the OMOP CDM.
The OMOP Common Data Model(v6) implemented in Django (v3)
Medically-informed data preprocessing for machine learning
Pure Julia implementation of the OMOP Common Data Model (CDM)
A Cloud-Native Clinical Trial Recruitment Support System based on HL7 FHIR® and the OMOP CDM
:notebook: .Net library for OMOP CDM management
Examples of exploring synthetic healthcare data from the Agency for Healthcare Research and Quality in the United States Department of Health and Human Services, and MITRE Corporation.
SOCRATex: Staged Optimization of Curation, Regularization, and Annotation of clinical Text
SCCRIP (Sickle Cell Clinical Research and Intervention Program) established a longitudinal cohort at multiple sites with Sickle Cell Disease (SCD) in 2014 managed by St. Jude Clinical Hematology. A new collaborator for SCCRIP has longitudinal data for 600 SCD patients in OMOP CDM format and this effort is to convert OMOP CDM to SCCRIP format.
A Python data class representation of the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM)
Facilitate the linkage of OMOP CDM databases from different sources