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COVID-19 cough classification using machine learning and global smartphone recordings.

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第一作者： Madhurananda,Pahar

第一单位： Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa. Electronic address: mpahar@sun.ac.za.

作者： Madhurananda,Pahar ^[1] ; Marisa,Klopper ^[2] ; Robin,Warren ^[3] ; Thomas,Niesler ^[4]

作者单位： Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa. Electronic address: mpahar@sun.ac.za. ^[1] SAMRC Centre for Tuberculosis Research, DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa. Electronic address: marisat@sun.ac.za. ^[2] SAMRC Centre for Tuberculosis Research, DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa. Electronic address: rw1@sun.ac.za. ^[3] Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa. Electronic address: trn@sun.ac.za. ^[4]

关键词 COVID-19 Convolutional neural network (CNN)Cough classification K-nearest neighbour (KNN)Logistic regression (LR)Long short-term memory (LSTM)Machine learning Multilayer perceptron (MLP)Resnet50 Support vector machine (SVM)

医学主题词咳嗽(Cough);人类(Humans)

DOI 10.1016/j.compbiomed.2021.104572

PMID 34182331

发布时间 2022-12-05

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