Machine learning-driven strategies for enhanced pediatric wheezing detection.

Journal: Frontiers in pediatrics
Published Date:

Abstract

BACKGROUND: Auscultation is a critical diagnostic feature of lung diseases, but it is subjective and challenging to measure accurately. To overcome these limitations, artificial intelligence models have been developed.

Authors

  • Hye Jeong Moon
    Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Hyunmin Ji
    Department of Health Science and Technology, Seoul National University, Seoul, Republic of Korea.
  • Baek Seung Kim
    Department of Applied Statistics, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Gu, Seoul, 06974, Republic of Korea.
  • Beom Joon Kim
    Departments of Dermatology, Chung-Ang University College of Medicine, Seoul, Korea.
  • Kyunghoon Kim
    Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Keywords

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