OMOP2OBO: A Python Library for mapping OMOP standardized clinical terminologies to Open Biomedical Ontologies
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Updated
Oct 3, 2023 - Jupyter Notebook
OMOP2OBO: A Python Library for mapping OMOP standardized clinical terminologies to Open Biomedical Ontologies
Toolkit for evaluating and monitoring AI models in clinical settings
A web application to find patients, build cohorts and visualize health records
Unlocking the Power of Health Data With a Modern Data Lakehouse
An ETL pipeline to transform your EMP data to OMOP.
ETL engine to transform openEHR into OMOP. Loads OMOCL configuration files.
A software toolkit for the interconversion of standard data models for phenotypic data
R package for finding patients in SQL databases using formulas and without using SQL joins
A documentation-centric ETL tool, implementing transformations of a number of common clincial datasets into the OMOP CDM.
A Cloud-Native Clinical Trial Recruitment Support System based on HL7 FHIR® and the OMOP CDM
The web UI for Convert-Pheno, a software toolkit for the interconversion of standard data models for phenotypic data
Federated summary algorithm for a RDB following the OMOP CDM and using Vantage6
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
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