Development and validation of a federated learning framework for detection of subphenotypes of multisystem inflammatory syndrome in children
Description
BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a severe post-acute sequela of SARS-CoV-2 infection. The highly diverse clinical features of MIS-C necessities characterizing its features by subphenotypes for improved recognition
