Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment

Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment

Abstract Background Continuous assessment and remote monitoring of cognitive function in individuals with mild cognitive impairment (MCI) enables tracking therapeutic effects and modifying treatment to achieve better clinical outcomes. While standardized neuropsychological tests are inconvenient for...

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Bibliographic Details
Main Authors: Yuri G. Rykov, Michael D. Patterson, Bikram A. Gangwar, Syaheed B. Jabar, Jacklyn Leonardo, Kok Pin Ng, Nagaendran Kandiah
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Medicine
Subjects:
Digital physiological features
Digital biomarkers
Wearable sensor data
Mild cognitive impairment
Remote patient monitoring
Machine learning
Online Access:https://doi.org/10.1186/s12916-024-03252-y

Internet

https://doi.org/10.1186/s12916-024-03252-y

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