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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Nicola Franks1,2, Karl McDermott1,2, Karen Carlisle1
1College of Medicine and Dentistry, James Cook University College of Medicine and Dentistry, Cairns, Queensland, Australia.
Potentially suboptimal prescribing, especially prescribing omissions, significantly impacts the health of older First Nations Peoples globally. Addressing these issues is crucial for improving health equity and closing the gap in care.
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