Machine Learning Risk Stratification Approach Using Patient-Reported Outcomes

For a growing number of cancer survivors, ringing the bell at the end of primary treatment marks a transition into a complex phase of care that is often less structured and harder to predict. Even after therapy concludes, patients may experience lingering physical symptoms, emotional distress, or other unexpected medical needs that lead to emergency department or urgent care visits or even hospitalizations, along with a worsening symptom burden. Read more “Machine Learning Risk Stratification Approach Using Patient-Reported Outcomes” →