Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity—the financial stress and hardship that can ...
We found four breast cancer risk prediction models that had been tested enough times to evaluate in detail. These were the Gail, Tyrer-Cuzick, BOADICEA, and BRCAPRO models. The BOADICEA model was one ...
Strong discrimination for total CVD was observed with the base PREVENT equation, with C indexes of 0.764 (White), 0.773 (Asian), and 0.757 (Native Hawaiian and Other Pacific Islander). Marked ...
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