Python package for managing OHDSI clinical data models. Includes support for LLM based plain text queries!

Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data

OHDSI Ananke - A Tool for Mapping Between OHDSI Concept Identifiers to Unified Medical Language System (UMLS) identifiers

An ETL pipeline to transform your EMP data to OMOP.

A set of document templates facilitating efficient implementation and operation of an OMOP/OHDSI installation

Pure Julia implementation of the OMOP Common Data Model (CDM)

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.

🐋 OHDSI stack Docker configuration

Repository for the OHDSI Open Source Community workgroup

GORM models and APIs for CDM v 6.0

ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data

Transformation from PRIAS to the OMOP CDM

A Population level estimate (PLE) cohort study with prior A Cohort Diagnostics study to determine the feasibility using non-identifiable data mapped to the OHDSI Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to evaluate the risk of adverse musculoskeletal events in post-menopausal women taking AI compared to tamoxifen…

This repo contains analysis performed for paper "A comparative patient-level prediction study in OMOP CDM – insights from study on synthetic data".

Some scratch work looking at cohort_era logic in OHDSI

OHDSI data processor used to generate various features from EHRs (Electronic Health Records). It was developed and deployed for EHR Morbidity DREAM Challenge.

OMOP cohort creation SQL

SQLAlchemy Declarative Mapping Models for OHDSI OMOP CDM