Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

Van der Burg's study delved into the potential connection between overall survival and patient characteristics, along with radiation dose to the body in lung cancer patients undergoing various treatment schedules. In conclusion, patient characteristics and radiomics data exhibit predictive values for …