AI-based modelling of EHRs of patients with learning disabilities and multiple long-term health conditions

AI-based modelling of EHRs of patients with learning disabilities and multiple long-term health conditions
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This is a past event

Part of the AIM RSF monthly seminar series. There are approximately 1.1 million UK adults aged 18+ living with a learning disability (LD). Individuals with LDs often experience poorer physical and mental health, as well as higher comorbidity rates and avoidable mortality than those without LDs. This talk presents work on the NIHR-funded project entitled DECODE: using machine learning to Identify Clusters and trajectories of multiple long-term conditions (MLTCs) in Individuals with LDs.

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External event: This event is organised by The Alan Turing Institute. The University of Aberdeen is a member of The Turing University Network, a network committed to offering UK universities the opportunity to engage and collaborate both with The Alan Turing Institute and its broader networks in academia, industry and the public sector. Discover more about the university becoming a member of The Turing University Network: Turing Universities Network | Research | The University of Aberdeen (abdn.ac.uk)