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motion classification » emotion classification (Expand Search), lesion classification (Expand Search), modulation classification (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
binary range » linear range (Expand Search), binary image (Expand Search), binary edge (Expand Search)
range motion » target motion (Expand Search)
binary b » binary _ (Expand Search)
b wolf » _ wolf (Expand Search), a wolf (Expand Search)
motion classification » emotion classification (Expand Search), lesion classification (Expand Search), modulation classification (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
binary range » linear range (Expand Search), binary image (Expand Search), binary edge (Expand Search)
range motion » target motion (Expand Search)
binary b » binary _ (Expand Search)
b wolf » _ wolf (Expand Search), a wolf (Expand Search)
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Data Sheet 1_Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest.docx
Published 2025“…The subject was classified as either Success or Unsuccess group according to whether they had completed the on-road test. A random forest algorithm was then applied to construct a binary classification model based on the data obtained from the two groups.…”
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The Value of Dynamic Grip Force Modulation as a Potential Biomarkerfor Hand Function Recovery Following Stroke
Published 2024“…</p><p dir="ltr">We used a supervised machine learning algorithm (support vector machine, SVM, with k-fold cross-validation) for binary classification of groups (stroke versus control group), task conditions (uni- versus bimanual), and to quantify the active range of motion evaluated with upper extremity Fugl-Meyer Assessment (UEFMA) within the stroke group alone.…”