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Paper Details

Data-driven clustering identifies features distinguishing multisystem inflammatory syndrome from acute COVID-19 in children and adolescents.
EClinicalMedicine
22
2021
Author NameAffiliation
Alon GevaBoston Children's Hospital
Alon GevaHarvard Medical School
Alon GevaBoston Children's Hospital
Alon GevaBoston Children's Hospital
Alon GevaBoston Children's Hospital
Alon GevaHarvard Medical School
Manish M PatelCenters for Disease Control and Prevention
Manish M PatelCenters for Disease Control and Prevention
Aline B MadduxUniversity of Colorado School of Medicine and Children's Hospital Colorado
Mark W HallNationwide Children's Hospital
John S GiulianoYale University School of Medicine
Laura L LoftisTexas Children's Hospital
Natasha B HalasaVanderbilt University Medical Center
Shira J GertzSaint Barnabas Medical Center
Courtney M RowanIndiana University School of Medicine, Riley Hospital for Children
Natalie Z CvijanovichUCSF Benioff Children's Hospital Oakland
Julie C FitzgeraldUniversity of Pennsylvania Perelman School of Medicine
Philip C SpinellaWashington University School of Medicine in St Louis
Heda DapulNew York University Grossman School of Medicine and Hassenfeld Children's Hospital
Peter M MouraniUniversity of Colorado School of Medicine and Children's Hospital Colorado
Sabrina M HeidemannCentral Michigan University
Leora R FeldsteinCenters for Disease Control and Prevention
Leora R FeldsteinCenters for Disease Control and Prevention
Mark W TenfordeCenters for Disease Control and Prevention
Mark W TenfordeCenters for Disease Control and Prevention
Jane W NewburgerBoston Children's Hospital
Jane W NewburgerBoston Children's Hospital
Kenneth D MandlBoston Children's Hospital
Kenneth D MandlHarvard Medical School
Kenneth D MandlBoston Children's Hospital
Kenneth D MandlHarvard Medical School
Adrienne G RandolphBoston Children's Hospital
Adrienne G RandolphHarvard Medical School
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