Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals.
Journal:
Computer methods and programs in biomedicine
Published Date:
Sep 20, 2017
Abstract
BACKGROUND AND OBJECTIVES: A huge number of solutions based on computational systems have been recently developed for the classification of cognitive abnormalities in older people, so that individuals at high risk of developing neurodegenerative diseases, such as Cognitive Impairment and Alzheimer?s disease, can be identified before the manifestation of the diseases. Several factors are related to these pathologies, making the diagnostic process a hard problem to solve. This paper proposes a computational model based on the artificial neural network to classify data patterns of older adults.