Diagnosis of Alzheimer's disease and behavioural variant frontotemporal dementia with machine learning‐aided neuropsychological assessment using feature engineering and genetic algorithms
2021; Wiley; Volume: 37; Issue: 2 Linguagem: Inglês
10.1002/gps.5667
ISSN1099-1166
AutoresFernando García‐Gutiérrez, Alfonso Delgado‐Álvarez, Cristina Delgado‐Alonso, Josefa Díaz, Vanesa Pytel, María Valles‐Salgado, M. Moreno, Laura Hernández‐Lorenzo, Jorge Matías‐Guiu, José L. Ayala, Jordi A. Matías‐Guiu,
Tópico(s)Spatial Neglect and Hemispheric Dysfunction
ResumoNeuropsychological assessment is considered a valid tool in the diagnosis of neurodegenerative disorders. However, there is an important overlap in cognitive profiles between Alzheimer's disease (AD) and behavioural variant frontotemporal dementia (bvFTD), and the usefulness in diagnosis is uncertain. We aimed to develop machine learning-based models for the diagnosis using cognitive tests.
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