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HealthDay
The combination of machine learning and a portable system can effectively measure multiple aspects of motor function to identify mild cognitive impairment (MCI) in older adults, according to a pilot study published online in the October-December 2024 issue of Alzheimer's Disease & Associated Disorders. The researchers reported that three machine learning models (support vector machine, decision trees, and logistic regression) were trained and tested with the goal of classification of MCI based on static balance, gait, and sit-to-stand activities in both single- and dual-task conditions.
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