Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Arturo López Pineda"'
Autor:
Arturo López-Pineda, Mario F Rodríguez-Moran, Cleto Álvarez-Aguilar, Sarah M Fuentes Valle, Román Acosta-Rosales, Ami S Bhatt, Shruti N Sheth, Carlos D Bustamante
Publikováno v:
BMC Cancer, Vol 18, Iss 1, Pp 1-10 (2018)
Abstract Background Organizations that issue guidance on breast cancer recommend the use of immunohistochemistry (IHC) for providing appropriate and precise care. However, little focus has been directed to the identification of maximum allowable turn
Externí odkaz:
https://doaj.org/article/1272adb2efb149f6a0f82854e8f50082
Autor:
Ye Ye, Michael M Wagner, Gregory F Cooper, Jeffrey P Ferraro, Howard Su, Per H Gesteland, Peter J Haug, Nicholas E Millett, John M Aronis, Andrew J Nowalk, Victor M Ruiz, Arturo López Pineda, Lingyun Shi, Rudy Van Bree, Thomas Ginter, Fuchiang Tsui
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0174970 (2017)
OBJECTIVES:This study evaluates the accuracy and transferability of Bayesian case detection systems (BCD) that use clinical notes from emergency department (ED) to detect influenza cases. METHODS:A BCD uses natural language processing (NLP) to infer
Externí odkaz:
https://doaj.org/article/c7b766cb474043cca6f9a435941aea0c
Autor:
Gilberto González-Arroyo, Salvador Gómez-García, Anel Gómez-García, Mario F. Rodriguez-Moran, Maricela García-Arreola, Karla Guadalupe López-López, Tonatihu Ortiz-Castillo, Noga Or-Geva, Sonia Moreno-Grau, Carlos D. Bustamante, Cleto Álvarez-Aguilar, Arturo López-Pineda
ObjectiveTo analyze the treatment outcomes for COVID-19 during the early stages of the pandemic at the Mexican Institute of Social Security.Material and MethodsIn this retrospective observational study, we investigated 130,216 patients with COVID-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeb08e2e7dd3659aee2db0c456b79789
https://doi.org/10.1101/2021.12.16.21267866
https://doi.org/10.1101/2021.12.16.21267866
Publikováno v:
Emerging Health Threats Journal. 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f419cebaab3a36304385d67f8697b756
https://doi.org/10.3402/ehtj.v4i0.11185
https://doi.org/10.3402/ehtj.v4i0.11185
Autor:
López-Pineda, Arturo1 arturolp@stanford.edu, Rodríguez-Moran, Mario F2 feliperdz.fr@gmail.com, Álvarez-Aguilar, Cleto2,3 cleto.alvarez@imss.gob.mx, Fuentes Valle, Sarah M4 fuvsma@hotmail.com, Acosta-Rosales, Román5 roman.acosta@imss.gob.mx, Bhatt, Ami S6,7 asbhatt@stanford.edu, Sheth, Shruti N8 shruti.sheth@stanford.edu, Bustamante, Carlos D1,6 cdbustam@stanford.edu
Publikováno v:
BMC Cancer. 9/27/2018, Vol. 18 Issue 1, p1-10. 10p. 2 Charts, 2 Graphs.
Publikováno v:
Current Medical Science; Feb2022, Vol. 42 Issue 1, p226-236, 11p
The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering
Autor:
Bairong Shen
This book introduces the translational informatics applied to most aspects of virus infection, including tracking of virus origin, detection and prevention of infection, drug discovery, and vaccine design as well as smart city-level monitoring and co
This volume constitutes selected papers presented at the First International Conference on Emerging Technology Trends in IoT and Computing, TIOTC 2021, held in Erbil, Iraq, in June 2021. The 26 full papers were thoroughly reviewed and selected from