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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Radiation Oncology*Biology*Physics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.