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.In this clip
From this podcast
Data Skeptic
Haywire Algorithms
Related Questions
How can we gain insights on the efficacy of a treatment or intervention as discussed in the episode Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212?
How can we gain insights on the efficacy of a treatment or intervention as discussed in the episode Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212?