Development and validation of a federated learning framework for detection of subphenotypes of multisystem inflammatory syndrome in children.

Our identified three MIS-C subphenotypes have profound implications for personalized treatment strategies, potentially influencing clinical outcomes. Further, the proposed algorithm facilitates federated subphenotyping while accounting for the heterogeneity across hospitals.