Comparison of four variable selection methods to determine the important variables in predicting the prognosis of traumatic brain injury patients by support vector machine

Comparison of four variable selection methods to determine the important variables in predicting the prognosis of traumatic brain injury patients by support vector machine

Background: Large amounts of information have called for increased computational complexity. Data dimension reduction is therefore critical to preliminary analysis. In this research, four variable selection (VS) methods are compared to obtain the important variables in predicting the prognosis of tr...

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Bibliographic Details
Main Authors: Saeedeh Pourahmad, Soheila Rasouli-Emadi, Fatemeh Moayyedi, Hosseinali Khalili
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2019-01-01
Series:Journal of Research in Medical Sciences
Subjects:
variable selection
traumatic brain injury
support vector machine
filter
wrapper
prediction
prognosis
Online Access:http://www.jmsjournal.net/article.asp?issn=1735-1995;year=2019;volume=24;issue=1;spage=97;epage=97;aulast=Pourahmad

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http://www.jmsjournal.net/article.asp?issn=1735-1995;year=2019;volume=24;issue=1;spage=97;epage=97;aulast=Pourahmad

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