Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data

Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data

Abstract Background Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classification, yet little is known about how feature selection methods perform in diffusion tensor images (DTIs). In this study, feature selection an...

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Bibliographic Details
Main Authors: Yolanda Garcia-Chimeno, Begonya Garcia-Zapirain, Marian Gomez-Beldarrain, Begonya Fernandez-Ruanova, Juan Carlos Garcia-Monco
Format: Article
Language:English
Published: BMC 2017-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Feature selection
Classification
DTI
SVM
Boosting(adaboost)
Naive bayes
Online Access:http://link.springer.com/article/10.1186/s12911-017-0434-4

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http://link.springer.com/article/10.1186/s12911-017-0434-4

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