Mostrando 9 resultados de: 9
Filtros aplicados
Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
Computer Methods and Programs in Biomedicine(1)
International Journal of Medical Informatics(1)
PLoS ONE(1)
Área temáticas
Enfermedades(4)
Funcionamiento de bibliotecas y archivos(3)
Programación informática, programas, datos, seguridad(3)
Fisiología humana(2)
Medicina y salud(2)
Área de conocimiento
Ciencias de la computación(5)
Análisis de datos(3)
Aprendizaje automático(3)
Cáncer(2)
Genética(2)
Objetivos de Desarrollo Sostenible
ODS 9: Industria, innovación e infraestructura(9)
ODS 17: Alianzas para lograr los objetivos(7)
ODS 11: Ciudades y comunidades sostenibles(1)
ODS 8: Trabajo decente y crecimiento económico(1)
Origen
scopus(9)
Constructive neural networks to predict breast cancer outcome by using gene expression profiles
Conference ObjectAbstract: Gene expression profiling strategies have attracted considerable interest from biologist due to thePalabras claves:artificial neural networks, Breast Cancer, Constructive Neural Networks, Gene expression profiles, Pbkp_redictive modellingAutores:Franco L., Jerez-Aragonés J.M., José Luis Subirats, Urda D.Fuentes:scopusAddressing critical issues in the development of an Oncology Information System
ArticleAbstract: Purposes: This paper presents the experience on the design and implementation of a user-centered OncPalabras claves:Biomedical Applications, electronic health record, Oncology Information System, survival analysisAutores:Alba E., Franco L., Jerez-Aragonés J.M., José Luis Subirats, Ribelles N., Urda D.Fuentes:scopusAdvanced online survival analysis tool for predictive modelling in clinical data science
ArticleAbstract: One of the prevailing applications of machine learning is the use of predictive modelling in clinicaPalabras claves:Autores:Alba E., Franco L., Jerez-Aragonés J.M., José Luis Subirats, Montes-Torres J., Ribelles N., Urda D.Fuentes:scopusApplication of genetic algorithms and constructive neural networks for the analysis of microarray cancer data
ArticleAbstract: Background: Extracting relevant information from microarray data is a very complex task due to the cPalabras claves:Constructive Neural Networks, feature selection, Genetic Algorithms, MicroarrayAutores:Franco L., Jerez-Aragonés J.M., José Luis Subirats, Luque-Baena R.M., Urda D.Fuentes:scopusEarly breast cancer prognosis prediction and rule extraction using a new constructive neural network algorithm
Conference ObjectAbstract: Breast cancer relapse prediction is an important step in the complex decision-making process of deciPalabras claves:Autores:Alba E., Franco L., Jerez-Aragonés J.M., José Luis Subirats, Molina I.Fuentes:scopusHybrid (generalization-correlation) method for feature selection in high dimensional DNA microarray prediction problems
Conference ObjectAbstract: Microarray data analysis is attracting increasing attention in computer science because of the manyPalabras claves:Constructive Neural Networks, Data Mining, DNA Microarray, feature selectionAutores:Couce Y., Franco L., Jerez-Aragonés J.M., José Luis Subirats, Urda D.Fuentes:scopusMissing data imputation in breast cancer prognosis
Conference ObjectAbstract: Missing data are often a problem present in real datasets and different imputation techniques are noPalabras claves:artificial neural networks, Breast Cancer, Missing data imputation, prognosisAutores:Franco L., Jerez-Aragonés J.M., José Luis Subirats, Molina I.Fuentes:scopusThermal comfort estimation using a neurocomputational model
Conference ObjectAbstract: Thermal comfort conditions are important for the normal development of human tasks, and as such theyPalabras claves:Constructive Neural Networks, Supervised learning, THERMAL COMFORTAutores:Francisco Ortega-Zamorano, Franco L., Ghoreishi K., Jerez-Aragonés J.M., Rodríguez-Alabarce J.Fuentes:scopusWIMP: Web server tool for missing data imputation
ArticleAbstract: The imputation of unknown or missing data is a crucial task on the analysis of biomedical datasets.Palabras claves:imputation, Machine learning, Missing data, Web ApplicationAutores:Franco L., García-Laencina P.J., Jerez-Aragonés J.M., José Luis Subirats, Sancho-Gómez J.L., Urda D.Fuentes:scopus