Machine Learning in Clinical Diagnosis of Head and Neck Cancer.

Journal: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery
Published Date:

Abstract

OBJECTIVE: Machine learning has been effective in other areas of medicine, this study aims to investigate this with regards to HNC and identify which algorithm works best to classify malignant patients.

Authors

  • Hollie Black
    Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow, UK.
  • David Young
    Institute of Molecular and Cell Biology, A*STAR, Singapore, Singapore.
  • Alexander Rogers
    Department of Otolaryngology, Head and Neck Surgery, Queen Elizabeth University Hospital, Glasgow, UK.
  • Jenny Montgomery
    Department of Otolaryngology, Head and Neck Surgery, Queen Elizabeth University Hospital, Glasgow, UK.