This paper is in the following e-collection/theme issue:

Digital Health Reviews (1289) Machine Learning (1465) Artificial Intelligence (1371) Mobile Health (mhealth) (2941) Telehealth and Telemonitoring (1671)

Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38472, first published .
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis

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

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

Authors of this article:

Ghada Al-Hussain1 Author Orcid Image ;   Farag Shuweihdi2 Author Orcid Image ;   Haitham Alali3 Author Orcid Image ;   Mowafa Househ4 Author Orcid Image ;   Alaa Abd-alrazaq5 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Ghada Al-Hussain   1 , MSc ;   Farag Shuweihdi   2 , PhD ;   Haitham Alali   3 , PhD ;   Mowafa Househ   4 , PhD ;   Alaa Abd-alrazaq   5 , PhD

1 Department of Unified Health Record, Lean for Business Services, Riyadh, Saudi Arabia

2 Leeds Institute of Health Sciences, School of Medicine, University of Leads, Leeds, United Kingdom

3 Health Management Department, Faculty of Medical and Health Sciences, Liwa College of Technology, Abu Dhabi, United Arab Emirates

4 Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar

5 AI Center for Precision Health, Weill Cornell Medicine, Doha, Qatar

Corresponding Author:

  • Alaa Abd-alrazaq, PhD
  • AI Center for Precision Health
  • Weill Cornell Medicine
  • Education City, Qatar Foundation
  • PO Box 24144
  • Doha
  • Qatar
  • Phone: 974 55708549
  • Email: alaa_alzoubi88@yahoo.com