RT info:eu-repo/semantics/conferenceProceedings
T1 Machine learning and metaheuristic based for Alzheimer’s disease diagnosis
A1 Akbar, O.A.
A1 López Guede, J.M.
A1 Alyaqoobi, H.I.
A1 Rahebi, J.
A2 Domínguez GonzálezM.
A2 Cabrera SantanaP.J.
A2 Irigoyen GordoE.
A2 Otros
K1 Ingeniería de sistemas
K1 Alzheimer’s disease diagnosis
K1 Machine learning
K1 Feature selection
K1 Fishier Mantis Optimizer (FMO)
K1 1207.14 Formulación de Sistemas
AB [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
PB Universidad de León
SN 978-84-18490-65-1
LK https://hdl.handle.net/10612/16970
UL https://hdl.handle.net/10612/16970
NO 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
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 13-may-2024