Comparison of support vector machine based on genetic algorithm with logistic regression to diagnose obstructive sleep apnea

Comparison of support vector machine based on genetic algorithm with logistic regression to diagnose obstructive sleep apnea

Background: Diagnosing of obstructive sleep apnea (OSA) is an important subject in medicine. This study aimed to compare the performance of two data mining techniques, support vector machine (SVM), and logistic regression (LR), in diagnosing OSA. The best-fit model was used as a substitute for polys...

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Bibliographic Details
Main Authors: Zohreh Manoochehri, Nader Salari, Mansour Rezaei, Habibolah Khazaie, Sara Manoochehri, Behnam Khaledi Pavah
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2018-01-01
Series:Journal of Research in Medical Sciences
Subjects:
Genetic algorithms
logistic regression
obstructive sleep apnea
polysomnography
support vector machine
Online Access:http://www.jmsjournal.net/article.asp?issn=1735-1995;year=2018;volume=23;issue=1;spage=65;epage=65;aulast=Manoochehri

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http://www.jmsjournal.net/article.asp?issn=1735-1995;year=2018;volume=23;issue=1;spage=65;epage=65;aulast=Manoochehri

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