A dataset of Solicited Cough Sound for Tuberculosis Triage Testing
Abstract Cough is a common and commonly ignored symptom of lung disease. Cough is often perceived as difficult to quantify, frequently self-limiting, and non-specific. However, cough has a central role in the clinical detection of many lung diseases including tuberculosis (TB), which remains the lea...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-10-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-03972-z |
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| author | Sophie Huddart Vijay Yadav Solveig K. Sieberts Larson Omberg Mihaja Raberahona Rivo Rakotoarivelo Issa N. Lyimo Omar Lweno Devasahayam J. Christopher Nguyen Viet Nhung Grant Theron William Worodria Charles Y. Yu Christine M. Bachman Stephen Burkot Puneet Dewan Sourabh Kulhare Peter M. Small Adithya Cattamanchi Devan Jaganath Simon Grandjean Lapierre |
| author_facet | Sophie Huddart Vijay Yadav Solveig K. Sieberts Larson Omberg Mihaja Raberahona Rivo Rakotoarivelo Issa N. Lyimo Omar Lweno Devasahayam J. Christopher Nguyen Viet Nhung Grant Theron William Worodria Charles Y. Yu Christine M. Bachman Stephen Burkot Puneet Dewan Sourabh Kulhare Peter M. Small Adithya Cattamanchi Devan Jaganath Simon Grandjean Lapierre |
| author_sort | Sophie Huddart |
| collection | DOAJ |
| description | Abstract Cough is a common and commonly ignored symptom of lung disease. Cough is often perceived as difficult to quantify, frequently self-limiting, and non-specific. However, cough has a central role in the clinical detection of many lung diseases including tuberculosis (TB), which remains the leading infectious disease killer worldwide. TB screening currently relies on self-reported cough which fails to meet the World Health Organization (WHO) accuracy targets for a TB triage test. Artificial intelligence (AI) models based on cough sound have been developed for several respiratory conditions, with limited work being done in TB. To support the development of an accurate, point-of-care cough-based triage tool for TB, we have compiled a large multi-country database of cough sounds from individuals being evaluated for TB. The dataset includes more than 700,000 cough sounds from 2,143 individuals with detailed demographic, clinical and microbiologic diagnostic information. We aim to empower researchers in the development of cough sound analysis models to improve TB diagnosis, where innovative approaches are critically needed to end this long-standing pandemic. |
| format | Article |
| id | doaj-art-d7b9d84353ee48f98441f6a2fa9c87e7 |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-d7b9d84353ee48f98441f6a2fa9c87e72025-08-20T02:17:39ZengNature PortfolioScientific Data2052-44632024-10-011111610.1038/s41597-024-03972-zA dataset of Solicited Cough Sound for Tuberculosis Triage TestingSophie Huddart0Vijay Yadav1Solveig K. Sieberts2Larson Omberg3Mihaja Raberahona4Rivo Rakotoarivelo5Issa N. Lyimo6Omar Lweno7Devasahayam J. Christopher8Nguyen Viet Nhung9Grant Theron10William Worodria11Charles Y. Yu12Christine M. Bachman13Stephen Burkot14Puneet Dewan15Sourabh Kulhare16Peter M. Small17Adithya Cattamanchi18Devan Jaganath19Simon Grandjean Lapierre20University of California San Francisco, School of Medicine, 533 Parnassus AveSage BionetworksSage BionetworksSage BionetworksCHU Joseph Rasera BefelatananaCHU Tambohobe FianarantsoaIfakara Health Institute, Environmental and Ecological Sciences & Interventions and Clinical Trials Departments, Kiko Avenue, Plot 463Ifakara Health Institute, Environmental and Ecological Sciences & Interventions and Clinical Trials Departments, Kiko Avenue, Plot 463Christian Medical College, Ida Scudder RoadNational Tuberculosis Programme, 463 Hoang Hoa Tham, Ba Dinh DistrictStellenbosch University, Division of Molecular Biology and Human GeneticsWalimu, Plot 5-7, Coral CrescentDe La Salle Medical and Health Sciences Institute, Governor D. Mangubat AvenueGlobal Health Labs, 14360 SE Eastgate WayGlobal Health Labs, 14360 SE Eastgate WayGlobal Health Labs, 14360 SE Eastgate WayGlobal Health Labs, 14360 SE Eastgate WayGlobal Health Labs, 14360 SE Eastgate WayUniversity of California Irvine, School of Medicine, 333 City Blvd. W Suite 400University of California San Francisco, School of Medicine, 533 Parnassus AveCentre de Recherche du Centre Hospitalier de l’Université de Montréal, Immunopathology Axis, 900 St-Denis, MontréalAbstract Cough is a common and commonly ignored symptom of lung disease. Cough is often perceived as difficult to quantify, frequently self-limiting, and non-specific. However, cough has a central role in the clinical detection of many lung diseases including tuberculosis (TB), which remains the leading infectious disease killer worldwide. TB screening currently relies on self-reported cough which fails to meet the World Health Organization (WHO) accuracy targets for a TB triage test. Artificial intelligence (AI) models based on cough sound have been developed for several respiratory conditions, with limited work being done in TB. To support the development of an accurate, point-of-care cough-based triage tool for TB, we have compiled a large multi-country database of cough sounds from individuals being evaluated for TB. The dataset includes more than 700,000 cough sounds from 2,143 individuals with detailed demographic, clinical and microbiologic diagnostic information. We aim to empower researchers in the development of cough sound analysis models to improve TB diagnosis, where innovative approaches are critically needed to end this long-standing pandemic.https://doi.org/10.1038/s41597-024-03972-z |
| spellingShingle | Sophie Huddart Vijay Yadav Solveig K. Sieberts Larson Omberg Mihaja Raberahona Rivo Rakotoarivelo Issa N. Lyimo Omar Lweno Devasahayam J. Christopher Nguyen Viet Nhung Grant Theron William Worodria Charles Y. Yu Christine M. Bachman Stephen Burkot Puneet Dewan Sourabh Kulhare Peter M. Small Adithya Cattamanchi Devan Jaganath Simon Grandjean Lapierre A dataset of Solicited Cough Sound for Tuberculosis Triage Testing Scientific Data |
| title | A dataset of Solicited Cough Sound for Tuberculosis Triage Testing |
| title_full | A dataset of Solicited Cough Sound for Tuberculosis Triage Testing |
| title_fullStr | A dataset of Solicited Cough Sound for Tuberculosis Triage Testing |
| title_full_unstemmed | A dataset of Solicited Cough Sound for Tuberculosis Triage Testing |
| title_short | A dataset of Solicited Cough Sound for Tuberculosis Triage Testing |
| title_sort | dataset of solicited cough sound for tuberculosis triage testing |
| url | https://doi.org/10.1038/s41597-024-03972-z |
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