Abstract
Predicting the risk of radiotherapy (RT) induced cardiac toxicity plays an important role in RT field design. Commonly used predictive models assume that the dose-response behavior can be characterized by pre-defined mathematical functions (parametric models), even though these function forms are speculative and hence may not reflect clinical reality. The subject of this work is to determine if models that do not assume any such pre-defined mathematical behavior (non-parametric models) can be better predictors of left breast RT-induced cardiac toxicity.
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