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Predictors Of Cognitive Decline Using Digital Devices
Sponsor: University College, London
Summary
The overall aim of this study is to find out if people with cognitive difficulties will wear and use different types of digital technology, and if they will allow data from that technology and their clinical profile to be collected. Participants will be patients in Essex Memory clinic and their partners/carers. The digital technology used will include a smartwatch, a sleep headband and two smartphone applications, which have been selected as part of the Early Detection of Neurodegenerative Disease (EDoN) initiative. The investigators will also investigate how the digital data can be analyzed together with routinely captured clinical data using machine learning models, a complex type of statistical analysis. The aim of the wider EDoN initiative is to combine digital and clinical data to develop machine learning models which can predict individuals' risk of developing dementia decades before the onset of symptoms.
Official title: Predictors Of Cognitive Decline In Attenders Of Essex Memory Clinic From Digital Devices Using Classical Statistical Methods, Machine Learning And Disease Progression Modelling
Key Details
Gender
All
Age Range
40 Years - Any
Study Type
OBSERVATIONAL
Enrollment
135
Start Date
2022-07-19
Completion Date
2025-10
Last Updated
2025-07-10
Healthy Volunteers
Yes
Conditions
Locations (1)
St Margarets Hospital
Epping, Essex, United Kingdom