Survival prediction for oral tongue cancer patients via probabilistic genetic algorithm optimized neural network models.
Journal:
The British journal of radiology
Published Date:
Jun 19, 2020
Abstract
OBJECTIVES: High throughput pre-treatment imaging features may predict radiation treatment outcome and guide individualized treatment in radiotherapy (RT). Given relatively small patient sample (as compared with high dimensional imaging features), identifying potential prognostic imaging biomarkers is typically challenging. We aimed to develop robust machine learning methods for patient survival prediction using pre-treatment quantitative CT image features for a subgroup of head-and-neck cancer patients.