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Open Access
Peer-reviewed
Research Article
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program
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Vitaly Lorman ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: lormanv@chop.edu
Affiliation Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
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Hanieh Razzaghi,
Roles Conceptualization, Investigation, Methodology, Writing – review & editing
Affiliation Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
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Xing Song,
Roles Conceptualization, Methodology, Writing – review & editing
Affiliation Department of Health Management and Informatics, University of Missouri School of Medicine, Columbia, Missouri, United States of America
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Keith Morse,
Roles Conceptualization, Methodology, Writing – review & editing
Affiliation Division of Pediatric Hospital Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America
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Levon Utidjian,
Roles Conceptualization, Methodology, Writing – review & editing
Affiliation Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
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Andrea J. Allen,
Roles Conceptualization, Investigation, Writing – review & editing
Affiliation Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
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Suchitra Rao,
Roles Conceptualization, Writing – review & editing
Affiliation Department of Pediatrics, University of Colorado School of Medicine and Children’s Hospital of Colorado, Aurora, Colorado, United States of America
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Colin Rogerson,
Roles Writing – review & editing
Affiliation Division of Critical Care, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, United States of America
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Tellen D. Bennett,
Roles Writing – review & editing
Affiliation Departments of Biomedical Informatics and Pediatrics, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, Colorado, United States of America
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Hiroki Morizono,
Roles Writing – review & editing
Affiliation Center for Genetic Medicine Research, Children’s National Hospital, Washington, DC, United States of America
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Daniel Eckrich,
Roles Writing – review & editing
Affiliation Biomedical Research Informatics Center, Nemours Children’s Health, Wilmington, Delaware, United States of America
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Ravi Jhaveri,
Roles Writing – review & editing
Affiliation Division of Infectious Diseases, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois, United States of America
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Yungui Huang,
Roles Writing – review & editing
Affiliation IT Research and Innovation, The Research Institute at Nationwide Children’s Hospital, Columbus, Ohio, United States of America
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Daksha Ranade,
Roles Writing – review & editing
Affiliation Research Informatics Department, Seattle Children’s Hospital, Seattle, Washington, United States of America
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Nathan Pajor,
Roles Writing – review & editing
Affiliation Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
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Grace M. Lee,
Roles Writing – review & editing
Affiliation Division of Infectious Diseases, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America
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Christopher B. Forrest,
Roles Funding acquisition, Writing – review & editing
Affiliation Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
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L. Charles Bailey
Roles Conceptualization, Investigation, Methodology, Writing – original draft, Writing – review & editing
Affiliation Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
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A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program
- Vitaly Lorman,
- Hanieh Razzaghi,
- Xing Song,
- Keith Morse,
- Levon Utidjian,
- Andrea J. Allen,
- Suchitra Rao,
- Colin Rogerson,
- Tellen D. Bennett,
- Hiroki Morizono
- Published: August 10, 2023
- https://doi.org/10.1371/journal.pone.0289774