The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis.

Journal: Journal of medical Internet research
Published Date: Oct 14, 2022

Abstract

BACKGROUND: When investigating voice disorders a series of processes are used when including voice screening and diagnosis. Both methods have limited standardized tests, which are affected by the clinician's experience and subjective judgment. Machine learning (ML) algorithms have been used as an objective tool in screening or diagnosing voice disorders. However, the effectiveness of ML algorithms in assessing and diagnosing voice disorders has not received sufficient scholarly attention.

Authors

  • Ghada Al-Hussain
    Department of Unified Health Record, Lean for Business Services, Riyadh, Saudi Arabia.
  • Farag Shuweihdi
    Leeds Institute of Health Sciences, School of Medicine, University of Leads, Leeds, United Kingdom.
  • Haitham Alali
    Health Management Department, Faculty of Medical and Health Sciences, Liwa College of Technology, Abu Dhabi, United Arab Emirates.
  • Mowafa Househ
    Faculty College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar1.
  • Alaa Abd-Alrazaq
    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.

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