A telemedicine tool framework for lung sounds classification using ensemble classifier algorithms

•It builds a telemedicine tool for predicting respiratory pathology using lung sounds.•The 3 approaches has compared to machine learning for the detection of lung sounds.•The 3 approaches are Improved Random Forest, AdaBoost, Gradient Boosting.•This tool has trained by Bagging & Boosting classif...

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Bibliographic Details
Published in:	Measurement : journal of the International Measurement Confederation Vol. 162; p. 107883
Main Authors:	Jaber, Mustafa Musa, Abd, Sura Khalil, Shakeel, P.Mohamed, Burhanuddin, M.A., Mohammed, Mohammed Abdulameer, Yussof, Salman
Format:	Journal Article
Language:	English
Published:	London Elsevier Ltd 01.10.2020 Elsevier Science Ltd
Subjects:	Acoustics Algorithms Classifiers Ensemble learning Feature extraction Lung sounds Lungs Machine learning Pathology Pulmonary disorders Respiratory diseases Signal classification Signal processing Telemedicine Lung sounds Ensemble learning Pulmonary disorders Machine learning
ISSN:	0263-2241, 1873-412X
Online Access:	Get full text
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