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This paper is in the following e-collection/theme issue:

Infectious Diseases (non-STD/STI) (1910) Electronic Health Records (1669) Secondary Use of Clinical Data for Research and Surveillance (616) Machine Learning (3080) Registered Report (1506) Chronic Conditions (546) JMIR Theme Issue: COVID-19 Special Issue (4233)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2023.07.27.23293272v1, first published .
Man wearing a mask and hoodie coughs on outdoor stairs

Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study

Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study

Authors of this article:

Zachary Butzin-Dozier1 Author Orcid Image ;   Yunwen Ji1 Author Orcid Image ;   Haodong Li1 Author Orcid Image ;   Jeremy Coyle1 Author Orcid Image ;   Junming Shi1 Author Orcid Image ;   Rachael V Phillips1 Author Orcid Image ;   Andrew N Mertens1 Author Orcid Image ;   Romain Pirracchio2 Author Orcid Image ;   Mark J van der Laan1 Author Orcid Image ;   Rena C Patel3 Author Orcid Image ;   John M Colford1 Author Orcid Image ;   Alan E Hubbard1 Author Orcid Image ;   The National COVID Cohort Collaborative (N3C) Consortium4
Article Authors Cited by (4) Tweetations (7) Metrics Author Video

Journals

  1. Li S, Zhang Y, Fu K, Fang K, Zheng L, Lin Y, Wu J. Machine learning ensemble meets clinical practice: developing a real-world risk prediction model for metabolic syndrome using super learner and scorecard approaches. Journal of Advanced Research 2026;82:701 View
  2. Olowookere T, Adio A, Peter G, Olopade O, Aribisala B. Investigating the Performance of the Super-Learning Ensemble Algorithm in the Binary Classification of Diseases. Annals of Data Science 2026;13(3):609 View
  3. Bandeira Barboza A, Monteiro R, Muschi A, dos Santos Silva A, Silva D, Silveira R, Alencar Silva C, de Castro G, Santana J, Soares Silva R, Cerri G, Rodrigues Pereira A, Beco M, Romitelli G, Veneziani J, Santos Silva E, Barboza A, Mattar L, Sabino E, Ribeiro R, Costa S. Artificial intelligence-enhanced nurse navigation for monitoring and care of long COVID. International Journal of Medical Informatics 2026;219:106557 View
  4. Butzin-Dozier Z, Ji Y, Deshpande S, Anzalone A, Wang L, Hurwitz E, Kumar M, Patel R, Sun J, Robertson M, Mertens A, Camacho-Rivera M, Colford J, Hubbard A, Madlock-Brown C. Black Patients Underdiagnosed With Long COVID In The US Compared With White Patients. Health Affairs 2026;45(7):775 View