no code implementations • 28 Mar 2024 • Niall Taylor, Dan Schofield, Andrey Kormilitzin, Dan W Joyce, Alejo Nevado-Holgado
Pre-trained Large Language Models (LLMs) often struggle on out-of-domain datasets like healthcare focused text.
no code implementations • 28 Mar 2024 • Niall Taylor, Andrey Kormilitzin, Isabelle Lorge, Alejo Nevado-Holgado, Dan W Joyce
The ability to efficiently recommend a relevant team by ingesting potentially voluminous clinical notes could help services both reduce referral waiting times and with the right technology, improve the evidence available to justify triage decisions.
no code implementations • 15 Nov 2021 • Niall Taylor, Lei Sha, Dan W Joyce, Thomas Lukasiewicz, Alejo Nevado-Holgado, Andrey Kormilitzin
In this work, we apply InfoCal, the current state-of-the-art model that produces extractive rationales for its predictions, to the task of predicting hospital readmission using hospital discharge notes.