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Autor:
Baur, Sebastien, Nabulsi, Zaid, Weng, Wei-Hung, Garrison, Jake, Blankemeier, Louis, Fishman, Sam, Chen, Christina, Kakarmath, Sujay, Maimbolwa, Minyoi, Sanjase, Nsala, Shuma, Brian, Matias, Yossi, Corrado, Greg S., Patel, Shwetak, Shetty, Shravya, Prabhakara, Shruthi, Muyoyeta, Monde, Ardila, Diego
Health acoustic sounds such as coughs and breaths are known to contain useful health signals with significant potential for monitoring health and disease, yet are underexplored in the medical machine learning community. The existing deep learning sys
Externí odkaz:
http://arxiv.org/abs/2403.02522
Akademický článek
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Akademický článek
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Autor:
Kagujje M; Tuberculosis Department, Centre of Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia., Nyangu S; Tuberculosis Department, Centre of Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia., Maimbolwa MM; Tuberculosis Department, Centre of Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia., Shuma B; Tuberculosis Department, Centre of Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia., Sanjase N; Tuberculosis Department, Centre of Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia., Chungu C; Zambia Paediatric Association, Lusaka, Zambia., Kerkhoff AD; Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California San Francisco, San Francisco, California, United States of America., Creswell J; Innovations and Grants, Stop TB Partnership, Geneva, Switzerland., Muyoyeta M; Tuberculosis Department, Centre of Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Publikováno v:
PLOS global public health [PLOS Glob Public Health] 2024 Oct 24; Vol. 4 (10), pp. e0003725. Date of Electronic Publication: 2024 Oct 24 (Print Publication: 2024).