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Disease Progression Modeling Workbench 360

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arxiv 2106.13265 v1 pith:J4GT3475 submitted 2021-06-24 cs.LG cs.HC

Disease Progression Modeling Workbench 360

Parthasarathy Suryanarayanan , Prithwish Chakraborty , Piyush Madan , Kibichii Bore , William Ogallo , Rachita Chandra , Mohamed Ghalwash , Italo Buleje
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Sekou Remy Shilpa Mahatma Pablo Meyer Jianying Hu
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classification cs.LG cs.HC
keywords dpm360modelingdatadiseaseframeworklearningmachineprogression
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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.

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