Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study
Description
BACKGROUND: Characterizing Post-Acute Sequelae of COVID (SARS-CoV-2 Infection), or PASC has been challenging due to the multitude of sub-phenotypes, temporal attributes, and definitions. Scalable characterization of PASC sub-phenotypes can enhance
