CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data.

ABSTRACT:

Objectives

Distributed computations facilitate multi-institutional data analysis while avoiding the costs and complexity of data pooling. Existing approaches lack crucial features, such as built-in medical standards and terminologies, no-code data visualizations, explicit disclosure control mechanisms, and support for basic statistical computations, in addition to gradient-based optimization capabilities.

Materials and methods

We describe the development of the Collaborative Data Analysis (CODA) platform, and the design choices undertaken to address the key needs identified during our survey of stakeholders. We use a public dataset (MIMIC-IV) to demonstrate end-to-end multi-modal FL using CODA. We assessed the technical feasibility of deploying the CODA platform at 9 hospita

SUBMITTER: Mullie L 

PROVIDER: S-EPMC10873779 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature