Unlocking the Power of AI and Machine Learning NLP for Diabetes EHR data

Summary

Harnessing AI, machine learning, and natural language processing to transform diabetes electronic health records (EHR) into actionable insights. Advancing predictive models to improve diagnosis, management, and patient outcomes in diabetes care.

How are we doing it?

We will combine structured and unstructured diabetes EHR data using AI, machine learning, and NLP to build and validate predictive models, ensuring they are interpretable, fair, and clinically useful

What happens next?

We will refine and test the developed models on real-world diabetes EHR data, validate their performance across diverse patient groups, and work with clinicians to translate the findings into practical tools that can support better patient care.

Funding

NIHR Exeter BRC.

People Involved

Angus Jones, Andrew McGovern, John Dennis, Aline  Villavicencio.