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10.1038/s41597-021-00937-4 http://scihub22266oqcxt.onion/10.1038/s41597-021-00937-4 34162883!8222356!34162883     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Data 2021 ; 8 (1): 156 Nephropedia Template TP {{tp|p=34162883|t=2021. The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms |pdf=|usr=}}{{34162883}} gab.com Text The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=34162883 #FOAvip Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. The COUGHVID dataset provides over 25,000 crowdsourced cough recordings representing a wide range of participant ages, genders, geographic locations, and COVID-19 statuses. First, we contribute our open-sourced cough detection algorithm to the research community to assist in data robustness assessment. Second, four experienced physicians labeled more than 2,800 recordings to diagnose medical abnormalities present in the coughs, thereby contributing one of the largest expert-labeled cough datasets in existence that can be used for a plethora of cough audio classification tasks. Finally, we ensured that coughs labeled as symptomatic and COVID-19 originate from countries with high infection rates. As a result, the COUGHVID dataset contributes a wealth of cough recordings for training ML models to address the world's most urgent health crises. Twit Text FOAVip The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=34162883 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34162883 #FOAvip English Wikipedia <ref>{{Cite pmid|34162883}}</ref> The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms #MMPMID34162883 Orlandic L; Teijeiro T; Atienza D Sci Data 2021[Jun]; 8 (1): 156 PMID34162883show ga Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. The COUGHVID dataset provides over 25,000 crowdsourced cough recordings representing a wide range of participant ages, genders, geographic locations, and COVID-19 statuses. First, we contribute our open-sourced cough detection algorithm to the research community to assist in data robustness assessment. Second, four experienced physicians labeled more than 2,800 recordings to diagnose medical abnormalities present in the coughs, thereby contributing one of the largest expert-labeled cough datasets in existence that can be used for a plethora of cough audio classification tasks. Finally, we ensured that coughs labeled as symptomatic and COVID-19 originate from countries with high infection rates. As a result, the COUGHVID dataset contributes a wealth of cough recordings for training ML models to address the world's most urgent health crises. |*Algorithms[MESH] |*Crowdsourcing[MESH] |COVID-19/*diagnosis[MESH] |Cough/*diagnosis/virology[MESH] |Humans[MESH] |Machine Learning[MESH]The COUGHVID crowdsourcing dataset, a corpus for the study of large-sc(epmc).pdf DeepDyve Pubget Overpricing