Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis

Author:

Azzali IreneORCID,Cilia Nicole D.,De Stefano ClaudioORCID,Fontanella FrancescoORCID,Giacobini MarioORCID,Vanneschi Leonardo

Funder

FCT

Ministero dell'Istruzione dell'Università e della Ricerca

Publisher

Elsevier BV

Reference41 articles.

1. Kinematic and pressure features of handwriting and drawing: Preliminary results between patients with mild cognitive impairment, Alzheimer disease and healthy controls;Garre-Olmo;Curr. Alzheimer Res.,2017

2. Using genetic algorithms for the prediction of cognitive impairments;Cilia,2020

3. Dynamically enhanced static handwriting representation for Parkinson’s disease detection;Diaz;Pattern Recognit. Lett.,2019

4. Dynamic handwriting analysis for the assessment of neurodegenerative diseases: a pattern recognition perspective;Impedovo;IEEE Rev. Biomed. Eng.,2018

5. A comprehensive survey on recent metaheuristics for feature selection;Dokeroglu;Neurocomputing,2022

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