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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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January 11, 2020
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This methodology produces decision trees that target population groups more prone to suffering from mild cognitive impairment and are useful for cost-effective selective screening of the disease.
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Muñoz-Almaraz, F. J., Climent, M. T., Guerrero, M. D., Moreno, L., Pardo, J. A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment. J. Vis. Exp. (155), e59649, doi:10.3791/59649 (2020).
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