Mostrando 4 resultados de: 4
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Publisher
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings(1)
BioData Mining(1)
Data in Brief(1)
Infection, Genetics and Evolution(1)
Área temáticas
Ciencias de la computación(2)
Enfermedades(1)
Ginecología, obstetricia, pediatría, geriatría(1)
Medicina y salud(1)
Microorganismos, hongos y algas(1)
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ODS 17: Alianzas para lograr los objetivos(4)
ODS 3: Salud y bienestar(3)
ODS 9: Industria, innovación e infraestructura(3)
ODS 10: Reducción de las desigualdades(1)
ODS 8: Trabajo decente y crecimiento económico(1)
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google(3)
Feature selection reveal peripheral blood parameter's changes between COVID-19 infections patients from Brazil and Ecuador
ArticleAbstract: The investigation of conventional complete blood-count (CBC) data for classifying the SARS-CoV-2 infPalabras claves:Brazil, covid-19, ECUADOR, Hematological data, Machine learning, SARS-COV-2Autores:Dorn M., Feltes B.C., Jaime Meza, Jaime Meza Hormaza, Jorge Parraga-Alava, Luis Terán, Portmann E., Vieira I.A.Fuentes:googlescopusA multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies
ArticleAbstract: Background: Biologists aim to understand the genetic background of diseases, metabolic disorders orPalabras claves:External Biological Knowledge, Gene expression data, Multi-objective clustering (MOC), Pareto local search (PLS), Path-relinking (PR)Autores:Dorn M., Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopusCBCovid19EC: A dataset complete blood count and PCR test for COVID-19 detection in Ecuadorian population
OtherAbstract: In this work, we present the complete blood count data and PCR test results of a population of EcuadPalabras claves:ECUADOR, Hematological data, Machine learning, SARS-COV-2Autores:Dorn M., J. Meza Hormaza, Jorge Parraga-Alava, Leticia Vaca-Cardenas, Luis Terán, Portmann E., Ricardo Ordoñez-AvilaFuentes:scopusUsing local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem
Conference ObjectAbstract: Finding a solution to the Multi-Criteria Minimum Spanning Tree (mc-MST) problem has direct benefit oPalabras claves:Comparative Study, Multi-criteria minimum spanning tree, Multi-objective optimization problems, Pareto local search, Path relinking, Tabu searchAutores:Dorn M., Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopus