文章基本信息

标题：Prediction of Outcome in the Vegetative State by Machine Learning Algorithms: A Model for Clinicians?
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作者：Loris Pignolo ; Vincenzo i Lagan
期刊名称：Journal of Software Engineering and Applications
印刷版ISSN：1945-3116
电子版ISSN：1945-3124
出版年度：2011
卷号：4
期号：6
页码：388-390
DOI：10.4236/jsea.2011.46044
出版社：Scientific Research Publishing
摘要：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.
关键词：Artificial Intelligence; Vegetative State; Clinical Outcome; Prognosis