Auditing Heart Failure Treatment: Actionable Insights from an AI Generated HF Registry
Andrew Conkie, Annie Sinclair, Konstantin Georgiev, Ify Mordi and Iain Porter.
Poster accepted for display at NHS Scotland’s Digital Health and Care Fest 2022
Work funded by a grant from The Datalab
Predicting Clinical Events Based on Raw Text: From Bag-of-Words to Attention-Based Transformers
Roussinov D, Conkie A, Patterson A, Sainsbury C. Predicting Clinical Events Based on Raw Text: From Bag-of-Words to Attention-Based Transformers. Front Digit Health. 2022 Feb 21;3:810260. doi: 10.3389/fdgth.2021.810260. PMID: 35265939; PMCID: PMC8899014.
A comparison of different Natural Language Processing approaches to extracting information from free text clinical reports.
Doctor’s Notes: Using AI to Improve Diabetes Diagnostics and Treatment
Published as part of Nesta’ AI for Good programme (Sept 2020)
Predicting mortality in both diabetes and open-source clinical datasets from free text entries using machine learning (natural language processing)
Christopher Sainsbury , Andrew Conkie , Mark Buchner , Ann Wales & Gregory Jones