HIGHLIGHTS
- who: Savino Cilla and colleagues from the Duke University Medical Center, United States have published the research: Machine-learning prediction model for acute skin toxicity after breast radiation therapy using spectrophotometry, in the Journal: (JOURNAL)
- what: Based on the aforementioned arguments, the goal of this paper was to develop a predictive model for acute breast radiation toxicity using different ML classification models based on clinical and spectrophotometric variables. The authors aimed to measure photo-spectrometric characteristics of the irradiated skin in patients with breast cancer and the authors hypothesized that radiation-induced skin toxicity is . . .
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