TITLE:
Prediction of Outcome in the Vegetative State by Machine Learning Algorithms: A Model for Clinicians?
AUTHORS:
Loris Pignolo, Vincenzo i Lagan
KEYWORDS:
Artificial Intelligence, Vegetative State, Clinical Outcome, Prognosis
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.4 No.6,
July
1,
2011
ABSTRACT: Purpose of this study was to compare different Machine Learning classifiers (C4.5, Support Vector Machine, Naive Bayes, K-NN) in the early prediction of outcome of the subjects in vegetative state due to traumatic brain injury. Accuracy proved acceptable for all compared methods (AUC > 0.8), but sensitivity and specificity varied considerably and only some classifiers (in particular, Support Vector Machine) appear applicable models in the clinical routine. A combined use of classifiers is advisable.