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

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

English

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7,271 Views

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12:18 min

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January 11, 2020

DOI:

10.3791/59649-v

DOI:
10.3791/59649-v

•

12:18 min
January 11, 2020

•

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

Summary

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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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Cite this Article

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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