BiomedSciAI/DPM360
Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data
DPM360 helps biomedical researchers and data scientists develop and deploy deep learning models to understand how diseases progress. It takes in clinical patient data organized in the OMOP Common Data Model, processes it, and outputs trained models that can predict disease progression. This is useful for anyone analyzing patient histories to build predictive healthcare tools.
No commits in the last 6 months.
Use this if you need to build, train, and deploy deep learning models using OMOP-standardized electronic health record data to study disease progression or patient outcomes.
Not ideal if you are not working with OMOP CDM data or if you need a simple, non-cloud-based statistical analysis for disease progression.
Stars
19
Forks
4
Language
JavaScript
License
Apache-2.0
Category
Last pushed
May 09, 2023
Commits (30d)
0
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