Publications by authors named "Michelle Kobel"

Article Synopsis
  • The study focuses on predicting the risk of severe toxicity from cancer treatments using machine learning algorithms, addressing a significant concern for patients.
  • Clinical data from 590 breast cancer patients was analyzed to develop and validate two algorithms, with enhancements in predictive accuracy achieved by incorporating treatment information alongside patient characteristics.
  • Results indicate that machine learning can effectively forecast treatment-related toxicity, offering a potential strategy to enhance treatment safety and management for cancer patients.
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