A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive ImpairmentFrancisco J. Muñoz-Almaraz 1, María Teresa Climent 2, María Dolores Guerrero 3, Lucrecia Moreno 3, Juan Pardo 1
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.
