Machine learning model for classification of predominantly allergic and non-allergic asthma among preschool children with asthma hospitalization.

Journal: The Journal of asthma : official journal of the Association for the Care of Asthma
Published Date: Mar 1, 2023

Abstract

OBJECTIVE: Asthma is the most frequent chronic airway illness in preschool children and is difficult to diagnose due to the disease's heterogeneity. This study aimed to investigate different machine learning models and suggested the most effective one to classify two forms of asthma in preschool children (predominantly allergic asthma and non-allergic asthma) using a minimum number of features.

Authors

  • Piyush Bhardwaj
    Centre for Advanced Computational Solutions (C-fACS), Department of Molecular Biosciences, Lincoln University, Lincoln, Christchurch, New Zealand.
  • Ashish Tyagi
    Department of Forensic Medicine & Toxicology, SHKM Govt. Medical College, Nuh, Haryana, India.
  • Shashank Tyagi
    Department of Forensic Medicine & Toxicology, Lady Hardinge Medical College & Associated Hospitals, New Delhi, India.
  • Joana Antão
    Lab3R - Respiratory Research and Rehabilitation Laboratory, School of Health Sciences, University of Aveiro (ESSUA), Aveiro, Portugal.
  • Qichen Deng
    Department of Research and Development, Ciro, Horn, The Netherlands.

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