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Título
Machine learning and metaheuristic based for Alzheimer’s disease diagnosis
Autor
Facultad/Centro
Área de conocimiento
Es parte de
XVII Simposio CEA de Control Inteligente: Reunión anual del grupo de Control Inteligente del comité español de automática (CEA). Libro de Actas, León, 27-29 de junio de 2022
Cita Bibliográfica
Akbar, O. A., Lopez-Guede, Alyaqoobi, H. I., Rahebi, J. (2022). Machine learning and metaheuristic based for Alzheimer’s disease diagnosis. XVII Simposio CEA de Control Inteligente: Reunión anual del grupo de Control Inteligente del comité español de automática (CEA). Libro de Actas, León, 27-29 de junio de 2022. 104-107
Editorial
Universidad de León
Fecha
2022
Resumen
[EN] Alzheimer's disease was first described in 1907 by Alois Alzheimer. It is a progressive neurological disorder with a gradual onset of dementia. Although Alzheimer's was initially a rare disease, it is now one of the most common diseases in the elderly and is the fourth most common cause of death in this age group in the rankings. In this paper, we present a new methods of group intelligence to improve image threshold in Alzheimer's diagnosis. The challenge of this method is the uncertainty of metaheuristic methods in solving optimization problems
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