HIGHLIGHTS
- What: The authors chose to explore the second one with dosiomics. The authors explored the benefits, in terms of predictive performance, of dosiomics compared to standard dosimetric features, with the help of machine_learning methods, for the prognosis of high-grade CD occurrence in childhood cancer survivors. The authors focused on prognosis performance in this study, mainly having the medical monitoring context in mind.
- Who: Mahmoud Bentriou from the University of Kansas Medical Center, United States have published the research work: Combining dosiomics and machine learning methods for predicting severe cardiac diseases in childhood cancer survivors . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.