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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Detalles Bibliográficos
Autores principales: Manoochehri, Zohreh, Salari, Nader, Rezaei, Mansour, Khazaie, Habibolah, Manoochehri, Sara, Pavah, Behnam Khaledi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091128/
https://www.ncbi.nlm.nih.gov/pubmed/30181747
http://dx.doi.org/10.4103/jrms.JRMS_357_17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091128/
https://www.ncbi.nlm.nih.gov/pubmed/30181747
http://dx.doi.org/10.4103/jrms.JRMS_357_17

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