Validating transformers for redaction of text from electronic health records in real-world healthcare

1 code implementation • 5 Oct 2023 • Zeljko Kraljevic, Anthony Shek, Joshua Au Yeung, Ewart Jonathan Sheldon, Mohammad Al-Agil, Haris Shuaib, Xi Bai, Kawsar Noor, Anoop D. Shah, Richard Dobson, James Teo

Protecting patient privacy in healthcare records is a top priority, and redaction is a commonly used method for obscuring directly identifiable information in text.

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