Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Terrence Fradet"'
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 10, Iss 3, p e0004549 (2016)
BACKGROUND:Assessment of the response to the 2014-15 Ebola outbreak indicates the need for innovations in data collection, sharing, and use to improve case detection and treatment. Here we introduce a Machine Learning pipeline for Ebola Virus Disease
Externí odkaz:
https://doaj.org/article/4c0a41f4e8194662a9e0aa83507c7dfc
Autor:
Sara Asad, Ehi Ediale, Christian T. Happi, Terrence Fradet, Donatus I Adomeh, Omoregie O Osazuwa, Peter O. Okokhere, George O. Akpede, Beate Becker-Ziaja, Chris Aire, Stephen F. Schaffner, Rebecca O Atafo, Ben Fry, Danny Asogun, Sylvanus Okogbenin, Ikponmwosa Odia, Stephan Günther, Meike Pahlman, Chukwuemeka O Azubike, Andrés Colubri, Christopher Ojemiega Iruolagbe, Mojeed Rafiu, Elizabeth T Chin, Shervin Tabrizi, Pardis C. Sabeti
Publikováno v:
The Lancet Infectious Diseases. 18:684-695
Summary Background Lassa fever is a viral haemorrhagic disease endemic to west Africa. No large-scale studies exist from Nigeria, where the Lassa virus (LASV) is most diverse. LASV diversity, coupled with host genetic and environmental factors, might
Autor:
Tom Silver, Kalliroi Retzepi, Pardis C. Sabeti, Andrés Colubri, Benjamin Fry, Terrence Fradet
Publikováno v:
PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases, Vol 10, Iss 3, p e0004549 (2016)
PLoS Neglected Tropical Diseases, Vol 10, Iss 3, p e0004549 (2016)
Background Assessment of the response to the 2014–15 Ebola outbreak indicates the need for innovations in data collection, sharing, and use to improve case detection and treatment. Here we introduce a Machine Learning pipeline for Ebola Virus Disea