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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Mary C Zonsius1, Klodiana Myftari, Michelle Newman
1Mary C. Zonsius is an associate professor in the College of Nursing at Rush University Medical Center in Chicago, where Klodiana Myftari is a clinical pharmacy specialist in the Department of Ambulatory Care Management, Michelle Newman is a program manager in the Department of Social Work and Community Health, and Erin E. Emery-Tiburcio is an associate professor in the Department of Psychiatry and Behavioral Sciences. Myftari is also an assistant professor of pharmacy practice at Midwestern University College of Pharmacy in Downers Grove, IL. Contact author: Mary C. Zonsius, mary_c_zonsius@rush.edu . The authors have disclosed no potential conflicts of interest, financial or otherwise.
This article introduces the 4Ms framework (What Matters, Medication, Mentation, Mobility) to support family caregivers in age-friendly health systems. It provides resources for nurses and caregivers to improve older adult care during hospital transitions.
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