Disease Progression Modeling Workbench 360

TL;DR

DPM360 is an open-source framework that streamlines disease progression modeling by integrating data standardization, machine learning development, and rapid deployment for healthcare AI research.

Contribution

It introduces a comprehensive, open-source platform that covers the entire modeling lifecycle, combining data standardization with machine learning and deployment tools.

Findings

Supports end-to-end disease progression modeling

Enables rapid prototyping and deployment of models

Enhances collaborative healthcare AI research

Abstract

In this work we introduce Disease Progression Modeling workbench 360 (DPM360) opensource clinical informatics framework for collaborative research and delivery of healthcare AI. DPM360, when fully developed, will manage the entire modeling life cycle, from data analysis (e.g., cohort identification) to machine learning algorithm development and prototyping. DPM360 augments the advantages of data model standardization and tooling (OMOP-CDM, Athena, ATLAS) provided by the widely-adopted OHDSI initiative with a powerful machine learning training framework, and a mechanism for rapid prototyping through automatic deployment of models as containerized services to a cloud environment.