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of 11
pro vyhledávání: '"Fernando López-Martínez"'
Publikováno v:
Algorithms, Vol 13, Iss 4, p 102 (2020)
Big data and artificial intelligence are currently two of the most important and trending pieces for innovation and predictive analytics in healthcare, leading the digital healthcare transformation. Keralty organization is already working on developi
Externí odkaz:
https://doaj.org/article/86997d43d7fe4f9099566b351978885f
Autor:
Jaime Lorduy Gómez, Edward Rolando Núñez-Valdez, Vicente García-Díaz, Fernando López-Martínez
Publikováno v:
Computers & Electrical Engineering. 76:379-388
The purpose of this study is to develop a non-invasive neural network classification model for early neonatal sepsis detection. Early neonatal sepsis is a public health issue and one of the leading causes of complications and deaths in neonatal inten
Autor:
Luís Fernando López Martínez
El suïcidi és considerat un dels majors problemes de salut pública de la societat moderna, tant d'atenció social i sanitària com educativa, que requereix una mirada integral i estratègies d'actuació essencials per a la seva prevenció, detecci
Autor:
Luis Fernando López Martínez
El suicidio es considerado uno de los mayores problemas de salud pública de la sociedad moderna, tanto de atención social y sanitaria como educativa, que requiere de una mirada integral y de estrategias de actuación esenciales para su prevención,
¿Ha sentido alguna vez que no es lo suficientemente valioso? ¿Le resulta difícil perdonarse cuando comete errores o carga con la culpa de todo lo que sucede a su alrededor? La relación que mantenemos con nosotros mismos es la más crucial y signi
Has sentit alguna vegada que no ets prou valuós? Et resulta difícil perdonar-te quan comets errors o carregues amb la culpa de tot el que passa al teu voltant? La relació que mantenim amb nosaltres mateixos és la més crucial i significativa que
Publikováno v:
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Algorithms
Volume 13
Issue 4
RUO: Repositorio Institucional de la Universidad de Oviedo
Universidad de Oviedo (UNIOVI)
Algorithms, Vol 13, Iss 102, p 102 (2020)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Algorithms
Volume 13
Issue 4
RUO: Repositorio Institucional de la Universidad de Oviedo
Universidad de Oviedo (UNIOVI)
Algorithms, Vol 13, Iss 102, p 102 (2020)
Big data and artificial intelligence are currently two of the most important and trending pieces for innovation and predictive analytics in healthcare, leading the digital healthcare transformation. Keralty organization is already working on developi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68742a071edd00f24bf691504f9a66b3
http://hdl.handle.net/10651/56613
http://hdl.handle.net/10651/56613
Publikováno v:
Computer Information Systems and Industrial Management ISBN: 9783030476786
CISIM
CISIM
There is a huge problem in public health around the world called severe maternal morbidity (SMM). It occurs during pregnancy, delivery, or puerperium. This condition establishes risk for babies and women lives since it’s earlier detection isn’t e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1202a0c9760494a7665b6a72ef860d5
https://doi.org/10.1007/978-3-030-47679-3_18
https://doi.org/10.1007/978-3-030-47679-3_18
Publikováno v:
Expert Systems with Applications. 110:206-215
This research presents a prediction model to evaluate the association between gender, race, BMI, age, smoking, kidney disease and diabetes using logistic regression. Data collected from NHANES datasets from 2007 to 2016. An unbalanced sampling datase
Autor:
Diego Fernando López Martínez, Luis Alberto Pérez-Quintero, Jean-Paul Vernot, Ana-María Perdomo-Arciniegas
Publikováno v:
Journal of Immunology Research
Journal of Immunology Research, Vol 2015 (2015)
Journal of Immunology Research, Vol 2015 (2015)
The Lck interacting protein Tip ofHerpesvirus saimiriis responsible for T-cell transformation bothin vitroandin vivo. Here we designed the chimeric peptide hTip-CSKH, comprising the Lck specific interacting motif CSKH of Tip and its hydrophobic trans