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AI-Based Modeling of Electronic Health Records for Patients with Learning Disabilities

Alan Turing Institute via YouTube

Overview

Explore a 38-minute talk on AI-based modeling of electronic health records (EHRs) for patients with learning disabilities (LD). Delve into the NIHR-funded DECODE project, which aims to identify clusters and trajectories of multiple long-term conditions in individuals with LDs. Learn about the methodology for constructing an EHR dataset from the SAIL databank, the development of an equitable machine learning model to predict hospital length of stay, and the modeling of longitudinal trajectories for this population. Discover how the DECODE team is supporting people with learning disabilities to co-create new ways to access care that better meet their needs. Access the accompanying slides for a comprehensive understanding of this important research.

Syllabus

AI-based modelling of EHRs of patients with LD by Georgina Cosma, Rania Kousovista, Emeka Abakasanga

Taught by

Alan Turing Institute

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