3 citations · 4 across the 3 of their papers we have counts for
3 papers
Explainable Machine Learning for ICU Readmission Prediction
Alex G. C. de Sá, Daniel Gould, Anna Fedyukova +8
The intensive care unit (ICU) comprises a complex hospital environment, where decisions made by clinicians have a high level of risk for the patients' lives. A comprehensive care p…
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record
Christopher McMaster, David FL Liew, Douglas EV Pires
We propose an approach for adapting the DeBERTa model for electronic health record (EHR) tasks using domain adaptation. We pretrain a small DeBERTa model on a dataset consisting of…
Quantifying machine learning-induced overdiagnosis in sepsis
Anna Fedyukova, Douglas Pires, Daniel Capurro
The proliferation of early diagnostic technologies, including self-monitoring systems and wearables, coupled with the application of these technologies on large segments of healthy…