Optimization of Alzheimer's management through refined neutrosophic analysis

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María Belén Alvarado Villavicencio
Jennifer Jajaira Iza Jami
Diego Mateo Moreta Topon

Abstract

Alzheimer's disease (AD) is a neurodegenerative condition that has affected an increasing number of people due to population aging. Therefore, this study analyzed, based on scientific evidence, the feasibility of AD prevention through the modification of modifiable factors. A literature review was conducted, complemented by a neutrosophic analysis of the information provided. Among the results, it was found that modifiable factors, such as lifestyle and comorbidities, have a significant influence on the progression of AD. Additionally, preventive strategies were observed to be effective in the earlier stages of the disease. In conclusion, adopting healthy habits and training caregivers has proven to be essential in the prevention and management of AD, although further research in local settings is needed.

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Optimization of Alzheimer’s management through refined neutrosophic analysis. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 37, 787-797. https://fs.unm.edu/NCML2/index.php/112/article/view/771
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How to Cite

Optimization of Alzheimer’s management through refined neutrosophic analysis. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 37, 787-797. https://fs.unm.edu/NCML2/index.php/112/article/view/771