Predicting Long-Term Recovery of Consciousness in Prolonged Disorders of Consciousness Based on Coma Recovery Scale-Revised Subscores: Validation of a Machine Learning-Based Prognostic Index

Predicting Long-Term Recovery of Consciousness in Prolonged Disorders of Consciousness Based on Coma Recovery Scale-Revised Subscores: Validation of a Machine Learning-Based Prognostic Index

Prognosis of prolonged Disorders of Consciousness (pDoC) is influenced by patients’ clinical diagnosis and Coma Recovery Scale-Revised (CRS-R) total score. We compared the prognostic accuracy of a novel Consciousness Domain Index (CDI) with that of clinical diagnosis and CRS-R total score, for recov...

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Bibliographic Details
Main Authors: Alfonso Magliacano, Piergiuseppe Liuzzi, Rita Formisano, Antonello Grippo, Efthymios Angelakis, Aurore Thibaut, Olivia Gosseries, Gianfranco Lamberti, Enrique Noé, Sergio Bagnato, Brian L. Edlow, Nicolas Lejeune, Vigneswaran Veeramuthu, Luigi Trojano, Nathan Zasler, Caroline Schnakers, Michelangelo Bartolo, Andrea Mannini, Anna Estraneo
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Brain Sciences
Subjects:
disorders of consciousness
coma recovery scale-revised
prognosis
rehabilitation
machine learning
Online Access:https://www.mdpi.com/2076-3425/13/1/51

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https://www.mdpi.com/2076-3425/13/1/51

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