Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment
نویسندگان
چکیده
منابع مشابه
Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment
Early diagnosis of dementia is critical for assessing disease progression and potential treatment. State-or-the-art machine learning techniques have been increasingly employed to take on this diagnostic task. In this study, we employed Generalized Matrix Learning Vector Quantization (GMLVQ) classifiers to discriminate patients with Mild Cognitive Impairment (MCI) from healthy controls based on ...
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background: the nonamnesic type of mild cognitive impairment (na?mci) is predementia state with subtle decline incognitive domains except memory. although cognitive rehabilitation (cr) has been investigated in amnesic type of mci, we could not find any trial that rehabilitated na?mci exclusively. we studied the effectiveness of cr on na?mci. materials and methods: this study was a blinded, rand...
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Objective: This study aimed to investigate the effects of moderate to high-intensity aerobic exercise on HbA1c (Glycated hemoglobin), FBS (fasting blood sugar) and cognitive function in mild cognitive impairment prediabetes patients. Materials and Methods: Seventeen elderly mild cognitive impairment (age 55-70) men and women were selected and were randomly divided into 2 groups as aerobic (n=1...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2016
ISSN: 1662-5188
DOI: 10.3389/fncom.2016.00117