Prediction of treatment failure of tuberculosis using support vector machine with genetic algorithm

Prediction of treatment failure of tuberculosis using support vector machine with genetic algorithm

Background: Tuberculosis (TB) is a disease that mainly affects human lungs. It can be fatal if the treatment is delayed. This study investigates the prediction of treatment failure of TB patients focusing on the features which contributes mostly for drug resistance. Methods: Support vector machine (...

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Bibliographic Details
Main Authors: Keethansana Kanesamoorthy, Maheshi B Dissanayake
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:International Journal of Mycobacteriology
Subjects:
classification
drug resistance
genetic algorithm
support vector machine
tuberculosis
Online Access:http://www.ijmyco.org/article.asp?issn=2212-5531;year=2021;volume=10;issue=3;spage=279;epage=284;aulast=Kanesamoorthy

Internet

http://www.ijmyco.org/article.asp?issn=2212-5531;year=2021;volume=10;issue=3;spage=279;epage=284;aulast=Kanesamoorthy

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