Prediction of post-treatment survival expectancy in head & neck cancers by machine learning methods

Abstract

In this study, survival for head and neck cancer disease was estimated using machine learning methods. Starting from the date on which the head and neck cancer disease was diagnosed, without a maximum time limit, at the end of the minimum 8 month period, it is estimated that the patient will be alive or not. Seven classifying machine-learning predictive methods were used in the study. The main goal of this study is to estimate the survivability of head and neck cancer patients and to provide a decision aid for cancer management with applied estimation methods and results. The results obtained by the application of the designed methods are examined and results with extremely high accuracy rates are obtained.

Keywords

• Machine learning, classification, artificial neural network, support vector machines, decision tree, logistic regression, linear disriminant, nearest neighbor .
• artificial neural network
• Support vector machines

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