Automatic dementia screening and scoring by applying deep learning on clock-drawing tests
نویسندگان
چکیده
منابع مشابه
Deep Learning for Automatic Summary Scoring
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The Clock Drawing Test (CDT) is a simple neuropsychological screening instrument that is well accepted by patients and has solid psychometric properties. Several different CDT scoring methods have been developed, but no consensus has been reached regarding which scoring method is the most accurate. This article reviews the literature on these scoring systems and the changes they have undergone ...
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The Clock Drawing Test (CDT) is a simple neuropsychometric instrument that can be easily applied to assess several cognitive functions. Over the past 20 years, the CDT has aroused considerable interest in its role for the early screening of cognitive impairment, especially in dementia. Although the CDT is considered an accurate test for dementia screening, recent studies including comparisons w...
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OBJECTIVES To assess the usefulness, relative ease of administration, and patient acceptance of the clock drawing test as well as the time and change test for detecting dementia in Chinese elderly adults. DESIGN Prospective case-controlled study. SETTING Memory clinic and geriatric clinic of a district hospital, Hong Kong. PARTICIPANTS A convenient sample of 85 subjects aged 65 years or o...
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We applied Machine Learning (ML) methods to test whether their application on data derived from two simple tests of cognitive and functional skills can improve dementia screening. DSM-IV criteria for dementia were used to categorize patients into normal, cognitively impaired but not demented, and demented groups. The two tests are the Functional Activities Questionnaire (FAQ) and the Six-Item B...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2020
ISSN: 2045-2322
DOI: 10.1038/s41598-020-74710-9