Uncertainty Quantification on Clinical Trial Outcome Prediction

1 code implementation • 7 Jan 2024 • Tianyi Chen, Nan Hao, Yingzhou Lu, Capucine van Rechem

Selective classification, encompassing a spectrum of methods for uncertainty quantification, empowers the model to withhold decision-making in the face of samples marked by ambiguity or low confidence, thereby amplifying the accuracy of predictions for the instances it chooses to classify.

Decision Making Drug Discovery +2