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Genetic Algorithms for Optimized Diagnosis of Alzheimer's Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.

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Bibliographic Details
Title: Genetic Algorithms for Optimized Diagnosis of Alzheimer's Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.
Authors: Díaz-Álvarez J; Department of Computer Architecture and Communications, Centro Universitario de Mérida, Universidad de Extremadura, Badajoz, Spain., Matias-Guiu JA; Department of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain., Cabrera-Martín MN; Department of Nuclear Medicine, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain., Pytel V; Department of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain., Segovia-Ríos I; Department of Computer Architecture and Communications, Centro Universitario de Mérida, Universidad de Extremadura, Badajoz, Spain., García-Gutiérrez F; Department of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain.; Department of Computer Architecture and Automation, Universidad Complutense, Madrid, Spain., Hernández-Lorenzo L; Department of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain.; Department of Computer Architecture and Automation, Universidad Complutense, Madrid, Spain., Matias-Guiu J; Department of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain., Carreras JL; Department of Nuclear Medicine, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain., Ayala JL; Department of Computer Architecture and Automation, Universidad Complutense, Madrid, Spain.
Corporate Authors: Alzheimer’s Disease Neuroimaging Initiative
Source: Frontiers in aging neuroscience [Front Aging Neurosci] 2022 Feb 03; Vol. 13, pp. 708932. Date of Electronic Publication: 2022 Feb 03 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101525824 Publication Model: eCollection Cited Medium: Print ISSN: 1663-4365 (Print) Linking ISSN: 16634365 NLM ISO Abbreviation: Front Aging Neurosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1663-4365
DOI:10.3389/fnagi.2021.708932