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.
@article{arxiv.2106.13265,
title = {Disease Progression Modeling Workbench 360},
author = {Parthasarathy Suryanarayanan and Prithwish Chakraborty and Piyush Madan and Kibichii Bore and William Ogallo and Rachita Chandra and Mohamed Ghalwash and Italo Buleje and Sekou Remy and Shilpa Mahatma and Pablo Meyer and Jianying Hu},
journal= {arXiv preprint arXiv:2106.13265},
year = {2021}
}
Comments
Submitted to OHDSI Collaborator Showcase, 2021 (https://www.ohdsi.org/2021-collaborator-showcase)