Optimizing Neuropsychological Assessments for Cognitive, Behavioral, and Functional Impairment Classification: A Machine Learning Study

<div>Features ordered according to their individual classification accuracy for CDR = 1 versus CDR = 0 (a), CDR = 0.5 versus CDR = 0 (b), and CDR = 1 versus CDR = 0.5 (c), using the feature reduction guided by the neuropsychologists. Results were obtained as average across all rounds (10) and iterations (100) but for each feature independently. Features are ranked in descending significance with respect to accuracy.</div>

Behavioural Neurology

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Figure 2: Optimizing Neuropsychological Assessments for Cognitive, Behavioral, and Functional Impairment Classification: A Machine Learning Study 