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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
1Department of Medicine, University of California, San Francisco, San Francisco, CA; Jewish Home of San Francisco, San Francisco, CA; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA.
Cardiovascular prevention in older adults requires personalized strategies, considering life expectancy and function. Treatment decisions for hypertension, cholesterol, and aspirin must weigh individual risks and benefits for optimal health outcomes.
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