Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 37639620

Abstract

OBJECTIVE: Development of electronic health records (EHR)-based machine learning models for pediatric inpatients is challenged by limited training data. Self-supervised learning using adult data may be a promising approach to creating robust pediatric prediction models. The primary objective was to determine whether a self-supervised model trained in adult inpatients was noninferior to logistic regression models trained in pediatric inpatients, for pediatric inpatient clinical prediction tasks.

Authors

  • Joshua Lemmon
    Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G1X8, Canada.
  • Lin Lawrence Guo
    Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Canada.
  • Ethan Steinberg
    Biomedical Informatics Research, Stanford University, Palo Alto, USA.
  • Keith E Morse
    Division of Pediatric Hospital Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.
  • Scott Lanyon Fleming
    Department of Biomedical Data Science, Stanford University, Palo Alto, CA, United States.
  • Catherine Aftandilian
    Division of Pediatric Hematology/Oncology, Stanford University, Palo Alto, United States.
  • Stephen R Pfohl
    Stanford Center for Biomedical Informatics Research, Stanford University, 1265 Welch Road, Stanford, CA 94305, United States of America. Electronic address: spfohl@stanford.edu.
  • Jose D Posada
    Universidad del Norte, Barranquilla 081007, Colombia.
  • Nigam Shah
    Center for Biomedical Informatics Research, Stanford University School of Medicine, Stanford, CA, United States.
  • Jason Fries
    1Stanford University, Stanford, CA USA.
  • Lillian Sung
    Division of Haematology/Oncology, The Hospital for Sick Children, 555 University Avenue, Toronto, Ontario, M5G1X8, Canada. lillian.sung@sickkids.ca.

Keywords

External Resources

Popular Topics
Recent Journals