Unveiling the Diagnostic Potential of Linguistic Markers in Identifying Individuals with Parkinson’s Disease through Artificial Intelligence: A Systematic Review

Unveiling the Diagnostic Potential of Linguistic Markers in Identifying Individuals with Parkinson’s Disease through Artificial Intelligence: A Systematic Review

While extensive research has documented the cognitive changes associated with Parkinson’s disease (PD), a relatively small portion of the empirical literature investigated the language abilities of individuals with PD. Recently, artificial intelligence applied to linguistic data has shown promising...

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Bibliographic Details
Main Authors: Cinzia Palmirotta, Simona Aresta, Petronilla Battista, Serena Tagliente, Gianvito Lagravinese, Davide Mongelli, Christian Gelao, Pietro Fiore, Isabella Castiglioni, Brigida Minafra, Christian Salvatore
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Brain Sciences
Subjects:
PD
machine learning
automated classification
natural language processing
narrative speech
discourse
Online Access:https://www.mdpi.com/2076-3425/14/2/137

Internet

https://www.mdpi.com/2076-3425/14/2/137

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