Clinical Outcome Predictions

Ravi emphasizes the importance of defining the right outcomes and features in predictive models, shifting focus from mortality to quality of life indicators. Kyle discusses challenges in machine learning models, including predicting readmissions for all cancer patients and the impact of the pandemic on algorithm stability.