Development and validation of a federated learning framework for detection of subphenotypes of multisystem inflammatory syndrome in children
Naimin Jing,
Xiaokang Liu,
Qiong Wu
et al.
Abstract: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 and treatment. However, jointly identifying subphenotypes in multi-site settings can be challenging. We propose a distributed multi-site latent class analysis (dMLCA) approach to jointly learn MIS-C subphenotypes using data across multiple institutions. Methods We u… Show more
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