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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

DOI :

10.3791/59649-v

January 11th, 2020

January 11th, 2020

7,191 Views

1Embedded Systems and Artificial Intelligence Group, Universidad CEU Cardenal Herrera, 2Community Pharmacist, 3Department of Pharmacy, Universidad CEU Cardenal Herrera

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.

Tags

Machine Learning

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