Predicting probable Alzheimer’s disease using linguistic deficits and biomarkers

Abstract

The manual diagnosis of neurodegenerative disorders such as Alzheimer’s disease (AD) and related Dementias has been a challenge. Currently, these disorders are diagnosed using specific clinical diagnostic criteria and neuropsychological examinations. The use of several Machine Learning algorithms to build automated diagnostic models using low-level… (More)
DOI: 10.1186/s12859-016-1456-0

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