RT Journal Article
T1 Diagnosis of Alzheimer's disease and behavioural variant frontotemporal dementia with machine learning‐aided neuropsychological assessment using feature engineering and genetic algorithms
A1 García‐Gutiérrez, Fernando
A1 Delgado Álvarez, Alfonso
A1 Delgado‐Alonso, Cristina
A1 Díaz‐Álvarez, Josefa
A1 Pytel Córdoba, Vanesa
A1 Valles‐Salgado, María
A1 Gil Idoate, María José
A1 Hernández Lorenzo, Laura
A1 Matías-Guiu Guía, Jorge
A1 Ayala Rodrigo, José Luis
A1 Matias-Guiu Antem, Jordi
AB BackgroundNeuropsychological 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.MethodsThree hundred and twenty-nine participants (170 AD, 72 bvFTD, 87 healthy control [HC]) were enrolled. Evolutionary algorithms, inspired by the process of natural selection, were applied for both mono-objective and multi-objective classification and feature selection. Classical algorithms (NativeBayes, Support Vector Machines, among others) were also used, and a meta-model strategy.ResultsAccuracies for the diagnosis of AD, bvFTD and the differential diagnosis between them were higher than 84%. Algorithms were able to significantly reduce the number of tests and scores needed. Free and Cued Selective Reminding Test, verbal fluency and Addenbrooke's Cognitive Examination were amongst the most meaningful tests.ConclusionsOur study found high levels of accuracy for diagnosis using exclusively neuropsychological tests, which supports the usefulness of cognitive assessment in diagnosis. Machine learning may have a role in improving the interpretation and test selection.
PB Wiley
SN 0885-6230
YR 2022
FD 2022
LK https://hdl.handle.net/20.500.14352/99890
UL https://hdl.handle.net/20.500.14352/99890
LA eng
NO Garcia-Gutierrez F, Delgado-Alvarez A, Delgado-Alonso C, et al. Diagnosis of Alzheimer's disease and behavioural variant frontotemporal dementia with machine learning-aided neuropsychological assessment using feature engineering and genetic algorithms. Int J Geriatr Psychiatry. 2021; 1-13. https://doi.org/10.1002/gps.5667
NO European Commission
NO Junta de Extremadura
NO Ministerio de Ciencia, Innovación y Universidades (España)
NO Ministerio de Economía, Comercio y Empresa (España)
NO Instituto de Salud Carlos III
DS Docta Complutense
RD 9 abr 2025