Comparison of machine learning algorithms for the prediction of five-year survival in oral squamous cell carcinoma.
Huda AlkhadarMichaelina MacluskeySharon WhiteIan R EllisAlexander GardnerPublished in: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology (2020)
Machine learning presents a promising and accessible toolset for improving prediction of oral cancer outcomes. Our findings add to a growing body of evidence that Decision tree models are useful in models in predicting OSCC outcomes. We would advise that future similar studies explore a variety of machine learning models including Logistic regression to help evaluate model performance.