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Many questions remain unanswered concerning the long-term effects of COVID-19 in children. In this report, we describe a computable phenotyping algorithm for identifying children and adolescents with post-acute sequelae of… Click to show full abstract
Many questions remain unanswered concerning the long-term effects of COVID-19 in children. In this report, we describe a computable phenotyping algorithm for identifying children and adolescents with post-acute sequelae of COVID-19 (PASC) and pilot this tool to characterize the clinical epidemiology of pediatric PASC in a large healthcare delivery network.
Keywords:
computable clinical;
acute sequelae;
post acute;
sequelae covid
Journal Title: Journal of the Pediatric Infectious Diseases Society
Year Published: 2022
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Journal Title: Journal of the Pediatric Infectious Diseases Society
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!