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Updated: Apr 1, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Parsing the heterogeneity of mild cognitive impairment: Lumpers and splitters
Jeffrey M Burns1, David A Bennett2
1From the University of Kansas Alzheimer's Disease Center (J.M.B.), Department of Neurology, University of Kansas School of Medicine, Kansas City; and Rush Alzheimer's Disease Center (D.A.B.), Rush University Medical Center, Chicago, IL. jburns2@kumc.edu.
No abstract available in PubMed .
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