HDR UK Cambridge Seminar Series: A computational framework for reproducible phenotyping algorithms in the UK Biobank

HDR UK Cambridge Seminar Series: A computational framework for reproducible phenotyping algorithms in the UK Biobank

Presentation by Dr Ana Torralbo

Abstract

Electronic health records (EHR) have become a cornerstone of contemporary population research studies. However, utilising EHR effectively is challenging due to data heterogeneity and fragmentation, and non-standardised development of algorithms to identify disease cohorts, which limits research reproducibility and scientific discovery. In my talk, I will present our recent work where we developed a computational framework to create and validate disease phenotyping algorithms at scale, exemplified in the UK Biobank. Our framework provides a robust approach for identifying patient cohorts in EHR that can be used in observational studies.

Biography

Ana Torralbo is a Senior Research Fellow at the Institute of Health Informatics in University College London. Her current research focuses on using phenome-wide approaches to investigating human disease in large cohorts of electronic health records. Her interests include developing and validating methods to enable the systematic study of disease, to ultimately enhance our understanding of human health.