Prediction in Radiotherapy Treatments: Current Trends

In this paper, a review of the existing state-of-the-art regarding prediction models in radiotherapy treatments is made. We focus the scope of the paper in data mining techniques used in the context of radiotherapy treatments. There are several data mining algorithms applied to datasets of cancer patients receiving radiotherapy treatments, with very distinct variables and heterogeneous features. The existing literature presents significant advantages in using data mining approaches to predict outcomes in this type of treatments, with an increasing adherence to their use and great potential to explore. Recent published studies are considered, followed by a discussion and some conclusions with the identification of possible future work.