HDR UK Site
Representation learning and sub-group discovery for multi-modal clinical data
- Development of AI-based embedding approaches for structured and unstructured EHR data as integration technique
- Use of these approaches to represent patient information and identify similar groups in patient cohorts
- Internal and external validation of the found groups
Project Team / Collaborators
George Gkoutos, Andreas Karwath, Luke Slater, Victor Roth Cardoso, Simon Ball, Dipak Kotecha, Andrey Barsky, Theo Arvanitis
R for Health Data Science: from clinicians who code to Shiny interventions
27 May 2022 at 10:00 am
Riinu Pius will present on R for Health Data Science: from clinicians who code to Shiny interventions on Friday 27th May at 10:00 UK time. Please click here for more details and to register.
Mapping multimorbidity in individuals with schizophrenia and bipolar disorders: evidence from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register
21 April 2022
People with severe mental illness, such as schizophrenia spectrum disorders or bipolar disorders, have higher death rates. It is difficult to study mental health records at scale, so a team of...
Evaluation of the ASSIGN open-source deterministic address-matching algorithm for allocating unique property reference numbers to general practitioner-recorded patient addresses
20 April 2022
Being able to link addresses across systems offers a valuable resource for health data science. However, they are often not standardised despite a government push towards this. Researchers at the...