Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learning.

Journal: Pediatric research
PMID:

Abstract

BACKGROUND: Early identification of children at risk of asthma can have significant clinical implications for effective intervention and treatment. This study aims to disentangle the relative timing and importance of early markers of asthma.

Authors

  • Ping He
    Shanghai Hospital Development Center, Shanghai 200040, China. Electronic address: heping@shdc.org.cn.
  • Theo J Moraes
    Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada.
  • Darlene Dai
    Department of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, BC, Canada.
  • Myrtha E Reyna-Vargas
    Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada.
  • Ruixue Dai
    Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada.
  • Piush Mandhane
    University of Alberta, Edmonton, AB, Canada.
  • Elinor Simons
    Department of Pediatrics & Child Health, University of Manitoba, Winnipeg, MB, Canada.
  • Meghan B Azad
    Department of Pediatrics & Child Health, University of Manitoba, Winnipeg, MB, Canada.
  • Courtney Hoskinson
    Department of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, BC, Canada.
  • Charisse Petersen
    Department of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, BC, Canada.
  • Kate L Del Bel
    Department of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, BC, Canada.
  • Stuart E Turvey
    Department of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, BC, Canada.
  • Padmaja Subbarao
    Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada.
  • Anna Goldenberg
    SickKids Research Institute, 686 Bay Street, Toronto, ON M5G 0A4, Canada; Department of Computer Science, University of Toronto, 40 St. George Street, Toronto, ON M5S 2E4, Canada. Electronic address: anna.goldenberg@utoronto.ca.
  • Lauren Erdman
    Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada.