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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Daniel J Hekman1, Hanna J Barton1, Apoorva P Maru1
1Berbee-Walsh Department of Emergency Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin, United States.
Monitoring machine-learning-based clinical decision support (ML-CDS) requires a broader approach beyond algorithm accuracy. This study introduces a dashboard to bridge the gap between ML-CDS outputs and patient outcomes, ensuring effective integration into care systems.
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