Výsledky vyhledávání - "Julio Barzallo"

Akademický článek

Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection.

Autor: Rachel Sippy, Daniel F Farrell, Daniel A Lichtenstein, Ryan Nightingale, Megan A Harris, Joseph Toth, Paris Hantztidiamantis, Nicholas Usher, Cinthya Cueva Aponte, Julio Barzallo Aguilar, Anthony Puthumana, Christina D Lupone, Timothy Endy, Sadie J Ryan, Anna M Stewart Ibarra

Publikováno v: PLoS Neglected Tropical Diseases, Vol 14, Iss 2, p e0007969 (2020)

BACKGROUND:Dengue, chikungunya, and Zika are arboviruses of major global health concern. Decisions regarding the clinical management of suspected arboviral infection are challenging in resource-limited settings, particularly when deciding on patient

Externí odkaz: https://doaj.org/article/3423d32c73054a53b34eb28958683a4b

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Increased incidences of noninfectious comorbidities among aging populations living with human immunodeficiency virus in Ecuador: a multicenter retrospective analysis

Autor: Nelson Cevallos, Andres Izurieta, Isabel Hernández, Enrique Teran, Julio Barzallo, Gabriela Yerovi, Rita Vera, Santiago Terán, Simón Beltrán, Alberto Castillo, Patricio Hernández, Camilo López, Alejandra Mendoza

Publikováno v: HIV/AIDS (Auckland, N.Z.)

Isabel Hernández,1,2 Julio Barzallo,3 Simón Beltrán,4 Alberto Castillo,5 Nelson Cevallos,6 Patricio Hernández,7 Camilo López,8 Rita Vera,9 Gabriela Yerovi,10 Alejandra Mendoza,1 Santiago Terán,1 Andres Izurieta,11 Enrique Teran11Colegio de Cien

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e39e4a9529071cb51f1f4a5ab5eb2b1f
http://europepmc.org/articles/PMC6489679

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Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection

Autor: Ryan Nightingale, Rachel Sippy, Daniel A. Lichtenstein, Nicholas Usher, Anna M. Stewart Ibarra, Joseph Toth, Cinthya Cueva Aponte, Christina D. Lupone, Julio Barzallo Aguilar, Anthony Puthumana, Megan A. Harris, Daniel F. Farrell, Paris Hantztidiamantis, Timothy P. Endy, Sadie J. Ryan

Publikováno v: PLoS Neglected Tropical Diseases, Vol 14, Iss 2, p e0007969 (2020)
PLoS Neglected Tropical Diseases

Background Dengue, chikungunya, and Zika are arboviruses of major global health concern. Decisions regarding the clinical management of suspected arboviral infection are challenging in resource-limited settings, particularly when deciding on patient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8caa584f7b57b49996d435fc433f3e0
https://doaj.org/article/3423d32c73054a53b34eb28958683a4b

Zobrazit plný text záznamu

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Severity Index for Suspected Arbovirus (SISA): machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection

Autor: Ryan Nightingale, Rachel Sippy, Megan A. Harris, Anna M. Stewart Ibarra, Nicholas Usher, Daniel A. Lichtenstein, Daniel F. Farrell, Paris Hantztidiamantis, Timothy P. Endy, Cinthya Cueva Aponte, Julio Barzallo Aguilar, Anthony Puthumana, Joseph Toth

BackgroundDengue, chikungunya, and Zika are arboviruses of major global health concern. Decisions regarding the clinical management of suspected arboviral infection are challenging in resource-limited settings, particularly when deciding on patient h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8f4b14268e3bf050c78e0a5e488fda1

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