An interpretable machine learning tool for in-home monitoring of agitation episodes in people living with dementia: a proof-of-concept studyResearch in context

An interpretable machine learning tool for in-home monitoring of agitation episodes in people living with dementia: a proof-of-concept studyResearch in context

Summary: Background: Agitation affects around 30% of people living with dementia (PLwD), increasing carer burden and straining care services. Agitation identification typically relies on subjective clinical scales and direct patient observation, which are resource-intensive and challenging to incor...

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Bibliographic Details
Main Authors: Marirena Bafaloukou, Ann-Kathrin Schalkamp, Nan Fletcher-Lloyd, Alex Capstick, Chloe Walsh, Cynthia Sandor, Samaneh Kouchaki, Ramin Nilforooshan, Payam Barnaghi
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:EClinicalMedicine
Subjects:
Dementia care
Agitation
Machine learning
Remote monitoring
Digital health tools
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537024006114
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