Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs

2 code implementations • 13 Dec 2022 • Zeljko Kraljevic, Dan Bean, Anthony Shek, Rebecca Bendayan, Harry Hemingway, Joshua Au Yeung, Alexander Deng, Alfie Baston, Jack Ross, Esther Idowu, James T Teo, Richard J Dobson

We explore how temporal modelling of patients from free text and structured data, using deep generative transformers can be used to forecast a wide range of future disorders, substances, procedures or findings.

named-entity-recognition Named Entity Recognition +1

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data

1 code implementation • 18 Nov 2020 • Zina M Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T Teo, Richard JB Dobson

The ability to perform accurate prognosis of patients is crucial for proactive clinical decision making, informed resource management and personalised care.

Decision Making Knowledge Distillation +4

Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit

1 code implementation • 2 Oct 2020 • Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A Folarin, Angus Roberts, Rebecca Bendayan, Mark P Richardson, Robert Stewart, Anoop D Shah, Wai Keong Wong, Zina Ibrahim, James T Teo, Richard JB Dobson

Electronic health records (EHR) contain large volumes of unstructured text, requiring the application of Information Extraction (IE) technologies to enable clinical analysis.