Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yanela Rodríguez"'
An artificial neural network for the prediction of mortality in patients with chronic kidney disease
Autor:
Sergio Orlando Escalona González, Yailé Caballero Mota, Yanela Rodríguez Alvarez, Mirna León Acebo, Zoraida Caridad González Milán, Beatriz Ricardo Paez, Katiuska Danay Rodríguez Espinosa
Publikováno v:
Revista Cubana de Medicina Militar, Vol 53, Iss 3, Pp e024038408-e024038408 (2024)
Introduction: Early mortality in patients with chronic kidney disease represents a major health problem, which is why the design of novel prognostic models is a priority. Objective: Design an artificial neural network for the prediction of mortality
Externí odkaz:
https://doaj.org/article/53ca30152615480d862de9ec3589dce3
Autor:
Sergio Orlando Escalona González, Yailé Caballero Mota, Yanela Rodríguez Alvarez, Mirna León Acebo, Zoraida Caridad González Milán, Beatriz Ricardo Paez, Katiuska Danay Rodríguez Espinosa
Publikováno v:
Revista Cubana de Medicina Militar, Vol 53, Iss 1, Pp e024017622-e024017622 (2024)
Introducción: La predicción de mortalidad en pacientes con enfermedad renal crónica, mediante escalas o índices pronósticos presenta limitaciones reales. Objetivo: Diseñar una escala predictiva de mortalidad en pacientes con enfermedad renal cr
Externí odkaz:
https://doaj.org/article/aa88d91e9cdf471d9a3df92994535a27
Autor:
María Matilde García Lorenzo, Yanela Rodríguez, Alejandro Ramón-Hernández, Beatriz Bello-Garcia, Yaima Filiberto, Alejandro Rosete, Yaile Caballero, Rafael Bello
Publikováno v:
Anales de la Academia de Ciencias de Cuba, Vol 10, Iss 3 (2020)
Introducción. La difusión de la COVID-19 en el mundo ha provocado una avalancha de investigaciones para enfrentarla y atenuar sus efectos, a lo cual han contribuido los estudios de inteligencia artificial. Objetivos. En este trabajo se muestra có
Externí odkaz:
https://doaj.org/article/28ba6b1344ca43a6ba580a09979d8102
Autor:
Yanela Rodríguez Alvarez, María Matilde García Lorenzo, Yailé Caballero Mota, Yaima Filiberto Cabrera, Isabel M. García Hilarión, Daniela Machado Montes de Oca, Rafael Bello Pérez
Publikováno v:
Pattern Recognition Letters. 163:183-190
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 8, Iss 1, Pp 140-155 (2014)
Feature selection can be viewed as one of the most fundamental problems in the field of machine learning. An analysis on the methods of feature selection is done in this investigation; stressing those that use techniques of Ant Colony Optimization an
Externí odkaz:
https://doaj.org/article/d126e4bb63df4770b63db91b85478284
Autor:
Luis Velázquez-Pérez, Yasmany González-Garcés, Jacqueline Medrano-Montero, Frank J. Carrillo-Rodes, Alberto Caballero-Laguna, Osiel Gámez-Rodríguez, Nalia Canales-Ochoa, Yennis Domínguez-Barrios, Yanela Rodríguez-Álvarez, Eduardo Arrufat-Pie, María O. Hernández Oliver, Leonardo A. Guerra-Rondón, Arianna Zayas-Hernández, Yaimeé Vázquez-Mojena, María B. Ramírez-Bautista, Roberto Rodríguez-Labrada, Aldo A. Sigler-Villanueva, Osvaldo Aguilera-Batista
Publikováno v:
Cerebellum (London, England)
Although there are no convincing evidences of detrimental effect of SARS-CoV2 infection on the cerebellum, the COVID-19 pandemic could impact the life quality of patients with cerebellar ataxias, but few studies have addressed this concern. To assess
Publikováno v:
Computational Intelligence Methodologies Applied to Sustainable Development Goals ISBN: 9783030973438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bad55de57cdef25afd48d27d18625255
https://doi.org/10.1007/978-3-030-97344-5_5
https://doi.org/10.1007/978-3-030-97344-5_5
Autor:
Yanela Rodríguez Alvarez, Alicia Natividad Torriente Martínez, Yailé Caballero Mota, Yaima Filiberto Cabrera, Rafael Bello Pérez
En este trabajo se presenta una herramienta software SAICCAD v2.0 (Sistema para el Aprendizaje Automático basado en Inteligencia Colectiva y Conjuntos Aproximados y Difusos) para utilizar y construir modelos de aprendizaje automático y minería de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ea5bf436720299fa6aa19ef48ec0aad
Autor:
Yailé Caballero Mota, Yanela Rodríguez Alvarez, Isabel García Hilarión, Yumilka Fernández Hernández, Mabel Frias Dominguez, Yaima Filiberto Cabrera
Publikováno v:
Uncertainty Management with Fuzzy and Rough Sets ISBN: 9783030104627
In this paper, new methods for solving imbalanced classification problems based on prototypes are proposed. Using similarity relations for the granulation of the universe, similarity classes are generated and a prototype is selected for each similari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e3cc51ca04de21e97adbebee6e8dac3
https://doi.org/10.1007/978-3-030-10463-4_11
https://doi.org/10.1007/978-3-030-10463-4_11
Autor:
Yumilka Fernández Hernández, Yaima Filiberto Cabrera, Mabel Frias Dominguez, Yailé Caballero Mota, Yanela Rodríguez Alvarez, Rafael Bello Pérez
Publikováno v:
Advances in Soft Computing ISBN: 9783030044909
MICAI (1)
MICAI (1)
In pattern classification problems, many works have been carried out with the aim of designing good classifiers from different perspectives. These works achieve very good results in many domains. However, in general they are very dependent on some cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb3c9badb90cb0b86963e3a532feab41
https://doi.org/10.1007/978-3-030-04491-6_30
https://doi.org/10.1007/978-3-030-04491-6_30