Machine Learning for Child and Adolescent Health: A Systematic Review.

Journal: Pediatrics
PMID: 33323492

Abstract

CONTEXT: In the last few decades, data acquisition and processing has seen tremendous amount of growth, thus sparking interest in machine learning (ML) within the health care system.

Authors

  • Zahra Hoodbhoy
    Department of Pediatrics and Child Health.
  • Sarah Masroor Jeelani
    Department of Pediatrics and Child Health.
  • Abeer Aziz
    Department of Pediatrics and Child Health.
  • Muhammad Ibrahim Habib
    The Aga Khan University, Karachi, Pakistan.
  • Bilal Iqbal
    The Aga Khan University, Karachi, Pakistan.
  • Waqaas Akmal
    The Aga Khan University, Karachi, Pakistan.
  • Khan Siddiqui
    Russell H. Morgan Department of Radiology and Radiological Science, School of Medicine, Johns Hopkins University, Baltimore, Maryland; and.
  • Babar Hasan
    Department of Pediatrics and Child Health, babar.hasan@aku.edu.
  • Mariska Leeflang
    Department of Clinical Epidemiology and Biostatistics, University of Amsterdam, Amsterdam, Netherlands.
  • Jai K Das
    Department of Pediatrics and Child Health.

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