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Updated: Mar 25, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Michael Rosenbloom1, Soo Borson1, Terry Barclay1
1HealthPartners Center for Memory and Aging (MR, TB, LRH), St. Paul; Department of Neurology (MR, JM), University of Minnesota Medical School, Minneapolis; Geriatric Research, Education and Clinical Center (GRECC) (JM), Minneapolis VA Health Care System, MN; the University of Washington School of Nursing (SB), University of Washington School of Medicine, Seattle; and HealthPartners Institute for Research and Education (LRH, AW, LS), Bloomington, MN.
A pilot study using the Mini-Cog cognitive screening tool in neurology patients aged 70+ found that screening positive significantly increased follow-up assessments and diagnoses of cognitive impairment or dementia.
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