A novel infrasound and audible machine-learning approach to the diagnosis of COVID-19
Guy Dori, Noa Bachner-Hinenzon, Nour Kasim, Haitem Zaidani, Sivan Haia Perl, Shlomo Maayan, Amin Shneifi, Yousef Kian, Tuvia Tiosano, Doron Adler, Yochai Adir
Source: ERJ Open Res, 8 (4) 00152-2022; 10.1183/23120541.00152-2022
Rating:
You must login to grade this presentation.
Share or cite this content
Citations should be made in the following way:
Guy Dori, Noa Bachner-Hinenzon, Nour Kasim, Haitem Zaidani, Sivan Haia Perl, Shlomo Maayan, Amin Shneifi, Yousef Kian, Tuvia Tiosano, Doron Adler, Yochai Adir. A novel infrasound and audible machine-learning approach to the diagnosis of COVID-19. ERJ Open Res, 8 (4) 00152-2022; 10.1183/23120541.00152-2022
You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
Related content which might interest you:
|
|