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

Artificial Intelligence aids early diagnosis and development of new treatments, which is key to slow down the progress of the diseases, which to date have no cure. The patients’ evaluation is carried out through diagnostic techniques such as clinical assessments neuroimaging techniques, which provid...

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Detalles Bibliográficos
Autores principales: García-Gutierrez, Fernando, Díaz-Álvarez, Josefa, Matias-Guiu, Jordi A., Pytel, Vanesa, Matías-Guiu, Jorge, Cabrera-Martín, María Nieves, Ayala, José L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365756/
https://www.ncbi.nlm.nih.gov/pubmed/35852735
http://dx.doi.org/10.1007/s11517-022-02630-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365756/
https://www.ncbi.nlm.nih.gov/pubmed/35852735
http://dx.doi.org/10.1007/s11517-022-02630-z

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