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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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Risk of progression from subjective cognitive decline to mild cognitive impairment: The role of study setting

Beth E Snitz1, Tianxiu Wang2, Yona Keich Cloonan3

  • 1Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|January 22, 2018
PubMed
Abstract

Keywords:
Cognitive declineLongitudinal designMemory complaintsSelection factors

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