Selection of Non-Pharmacological Treatments for mild Cognitive Impairment in older Adults with Neutrosophic-AHP

Abstract

 The aging of population includes a social group that has increased in recent years. Properly attending to the 
conditions of the elderly represents a problem to be addressed by Public Health institutions. A pathology that occurs very 
frequently is the cognitive impairment. Selecting the correct treatment for this type of condition is subject to the set of 
criteria that characterize the patient. Problems of this nature have been addressed by science from the implementation of 
artificial intelligence. The present research aims to develop a method for the selection of non-pharmacological treatments 
for mild cognitive impairment in older adults. The method operates using the neutrosophic AHP to model indeterminacy. 
The result is a case study with the implementation of the proposed method as an example of applicability.