BiomedSciAI/DPM360

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

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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.

Disease Progression Modeling Biomedical Research Clinical Data Analysis Healthcare AI OMOP CDM
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

19

Forks

4

Language

JavaScript

License

Apache-2.0

Last pushed

May 09, 2023

Commits (30d)

0

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