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Identifying who has long COVID in the USA: a machine learning approach using N3C data.
Pfaff, Emily R; Girvin, Andrew T; Bennett, Tellen D; Bhatia, Abhishek; Brooks, Ian M; Deer, Rachel R; Dekermanjian, Jonathan P; Jolley, Sarah Elizabeth; Kahn, Michael G; Kostka, Kristin; McMurry, Julie A; Moffitt, Richard; Walden, Anita; Chute, Christopher G; Haendel, Melissa A.
Afiliación
  • Pfaff ER; Department of Medicine, UNC Chapel Hill School of Medicine, Chapel Hill, NC, USA. Electronic address: epfaff@email.unc.edu.
  • Girvin AT; Palantir Technologies, Denver, CO, USA.
  • Bennett TD; Section of Informatics and Data Science, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Section of Critical Care Medicine, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Bhatia A; Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Brooks IM; Colorado Center for Personalised Medicine, Division of Biomedical Informatics & Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Deer RR; Department of Nutrition, Metabolism, and Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX, USA.
  • Dekermanjian JP; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Jolley SE; Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Kahn MG; Section of Informatics and Data Science, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Kostka K; The OHDSI Center at the Roux Institute, Northeastern University, Portland, ME, USA.
  • McMurry JA; Center for Health AI, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Moffitt R; Department of Biomedical Informatics, Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA.
  • Walden A; Center for Health AI, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Chute CG; Section of Biomedical Informatics and Data Science, Johns Hopkins University, Baltimore, MD, USA.
  • Haendel MA; Center for Health AI, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Lancet Digit Health ; 4(7): e532-e541, 2022 07.
Article en En | MEDLINE | ID: mdl-35589549
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adolescent / Adult / Humans País/Región como asunto: America do norte Idioma: En Revista: Lancet Digit Health Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adolescent / Adult / Humans País/Región como asunto: America do norte Idioma: En Revista: Lancet Digit Health Año: 2022 Tipo del documento: Article