Predictive machine learning algorithms for depression and anxiety disorders in six cancer types: a comprehensive multi-center population-based study

ML algorithms advance the understanding of depression and anxiety in cancer patients by leveraging longitudinal data to identify key predictive factors. These models not only enhance mental health care and treatment quality but also provide insights that inform evidence-based guidelines, thereby improving outcomes for patients, families, and healthcare providers during cancer care.