Robust machine learning method for imputing missing values in audiograms collected in children.

Journal: International journal of audiology
PMID: 33641573

Abstract

OBJECTIVE: To assess the accuracy and reliability of a machine learning (ML) algorithm for predicting the full audiograms of hearing-impaired children relative to the common approach (CA).

Authors

  • Pittayapon Pitathawatchai
    Department of Otolaryngology Head and Neck Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
  • Sitthichok Chaichulee
    Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, United Kingdom. Author to whom any correspndence should be addressed.
  • Virat Kirtsreesakul
    Department of Otolaryngology Head and Neck Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.

Keywords

External Resources

Popular Topics
Recent Journals