Machine learning predictor to investigate treatment modalities and overall survival in HER2+ patients with early-stage breast cancer

The study highlighted the importance of an aggressive and comprehensive treatment approach for patients with early-stage HER2-positive breast cancer. It emphasized the multifaceted nature of treatment outcomes and the need to consider multiple treatment factors beyond surgery alone. The developed survival prediction model provided valuable insights into the contribution of different treatment modalities to survival outcomes.