33 citations · 53 across the 7 of their papers we have counts for
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cs.LG2026
Data-Driven Priors for Uncertainty-Aware Deterioration Risk Prediction with Multimodal Data
L. Julián Lechuga López, Tim G. J. Rudner, Farah E. Shamout
Safe predictions are a crucial requirement for integrating predictive models into clinical decision support systems. One approach for ensuring trustworthiness is to enable models'…
cs.LG2020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
Farah E. Shamout, Yiqiu Shen, Nan Wu +17
During the coronavirus disease 2019 (COVID-19) pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decision-making. We propose a data-…