Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease

Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease

BackgroundThe NeuroArtP3 (NET-2018-12366666) is a multicenter study funded by the Italian Ministry of Health. The aim of the project is to identify the prognostic trajectories of Alzheimer's disease (AD) through the application of artificial intelligence (AI). Only a few AI studies investigated...

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Main Authors: Marianna Riello, Monica Moroni, Stefano Bovo, Flavio Ragni, Manuela Buganza, Raffaella Di Giacopo, Marco Chierici, Lorenzo Gios, Matteo Pardini, Federico Massa, Monica Dallabona, Elisa Vanzetta, Cristina Campi, Michele Piana, Sara Garbarino, Manuela Marenco, Venet Osmani, Giuseppe Jurman, Antonio Uccelli, Bruno Giometto, NeuroArtP3 Network, Filippo Gerli, Guido Pasquini, Claudia Niccolai, Matteo Betti, Emilio Portaccio, Maria Pia Amato, Rossi Andrea, Parodi Costanza, Ramaglia Antonia, Tortora Domenico, Severino Mariasavina, Andrea Falini, Antonella Castellano, Nicolò Pecco, Paola Scifo, Sonia Calloni
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Aging Neuroscience
Subjects:
Alzheimer dementia
mild cognitive impairment
MMSE
machine learning
random forest
SHAP analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2025.1565006/full
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https://www.frontiersin.org/articles/10.3389/fnagi.2025.1565006/full

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