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GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer's disease and frontotemporal dementia using genetic algorithms.

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Title: GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer's disease and frontotemporal dementia using genetic algorithms.
Authors: García-Gutierrez F; Departments of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain., Díaz-Álvarez J; Department of Computer Architecture and Communications, Centro Universitario de Mérida, Universidad de Extremadura, Mérida, Spain. mjdiaz@unex.es., Matias-Guiu JA; Departments of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain., Pytel V; Departments of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain., Matías-Guiu J; Departments of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain., Cabrera-Martín MN; Departments of Neurology, 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.
Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Sep; Vol. 60 (9), pp. 2737-2756. Date of Electronic Publication: 2022 Jul 19.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1741-0444
DOI:10.1007/s11517-022-02630-z