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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 162; s. 107883
Hlavní autori:	Jaber, Mustafa Musa, Abd, Sura Khalil, Shakeel, P.Mohamed, Burhanuddin, M.A., Mohammed, Mohammed Abdulameer, Yussof, Salman
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Elsevier Ltd 01.10.2020 Elsevier Science Ltd
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!