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AAIC 2023 | Use of machine learning to identify signs of cognitive decline

Dr Ryan Falck, PhD, from the University of British Columbia, Vancouver, BC, Canada, discusses how data acquired on the circadian dysregulation found in patients experiencing cognitive decline or dementia can be used with machine learning to help improve identification of neurological disorders. Individuals with dementia often experience a “sundowning” effect due to disrupted circadian rhythms. This circadian dysregulation can be quantified using actigraphy to measure cycles of activity and rest over a period of time. Machine learning software can be applied to this data to see whether changes in cognitive function can be predicted from the disruption of circadian rhythms. Recorded at the Alzheimer’s Association International Conference (AAIC) 2023 held in Amsterdam, Netherlands.

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