Bias and privacy in AI's cough-based COVID-19 recognition.
作者信息
Perez-Espinosa Humberto, Timonet-Andreu Eva, Andreu-Perez Javier
机构信息
Faculty of Science and Health, Centre for Computational Intelligence, University of Essex, Colchester CO4 3SQ, UK; National Council of Science and Technology, CICESE-UT3, Research Transfer Unit, Ensenada, Mexico.
Costa del Sol Health Agency, Biomedical Research Institute of Malaga, Malaga, Spain.
出版信息
Lancet Digit Health. 2021 Dec;3(12):e760. doi: 10.1016/S2589-7500(21)00234-X.
Abstract
摘要
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本文引用的文献
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A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels.一种基于深度学习的通用咳嗽分析系统，该系统来自经临床验证的样本，用于即时新冠病毒检测和严重程度分级。
IEEE Trans Serv Comput. 2021 Feb 23;15(3):1220-1232. doi: 10.1109/TSC.2021.3061402. eCollection 2022 May.
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COVID-19 detection from audio: seven grains of salt.从音频中检测新冠病毒：需持保留态度。
Lancet Digit Health. 2021 Sep;3(9):e537-e538. doi: 10.1016/S2589-7500(21)00141-2. Epub 2021 Jul 21.
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JOINT STATEMENT ON DATA PROTECTION AND PRIVACY IN THE COVID-19 RESPONSE.关于新冠疫情应对中数据保护与隐私的联合声明。
Neurosciences (Riyadh). 2021 Jan;26(1):111-112.
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Detection of tuberculosis by automatic cough sound analysis.自动咳嗽声分析检测肺结核。
Physiol Meas. 2018 Apr 26;39(4):045005. doi: 10.1088/1361-6579/aab6d0.
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