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-  2019 

Using data science to diagnose and characterize heterogeneity of Alzheimer's disease

DOI: 10.1016/j.trci.2019.05.002

Keywords: Alzheimer's disease, Dementia, Machine-learning, Decision tree, Neuropsychological assessment, Dementia screening

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Abstract:

Despite the availability of age- and education-adjusted standardized scores for most neuropsychological tests, there is a lack of objective rules in how to interpret multiple concurrent neuropsychological test scores that characterize the heterogeneity of Alzheimer's disease

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