Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review.

Journal: International journal of medical informatics
Published Date: Aug 18, 2021

Abstract

OBJECTIVES: Machine learning platforms are now being introduced into modern oncological practice for classification and prediction of patient outcomes. To determine the current status of the application of these learning models as adjunctive decision-making tools in oral cavity cancer management, this systematic review aims to summarize the accuracy of machine-learning based models for disease outcomes.

Authors

  • John Adeoye
    Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Jia Yan Tan
    Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region. Electronic address: jiayant@hku.hk.
  • Siu-Wai Choi
    Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region. Electronic address: htswchoi@hku.hk.
  • Peter Thomson
    Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region.

Keywords

External Resources

Popular Topics
Recent Journals