Support vector machine

1. Support vector machine predicts cognitive impairment in silico (86.2% accuracy).

   “a support vector machine and an automated machine learning model showed the highest ability in classifying older individuals with suspected cognitive impairment from those with healthy cognition with an accuracy of 86.2 %”

   In silicomalesn = 94

   Gait and sensory parameters based machine learning classification for detecting cognitive impairment in older adults

   Experimental gerontology·1 Oct 2025

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