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scopus(16)
A Comparison of Machine Learning Algorithms to Predict Cervical Cancer on Imbalanced Data
Conference ObjectAbstract: Cervical cancer is a leading cause of death in women. The present research analyzes, explores, compaPalabras claves:Cervical Cancer, Imbalanced data techniques, Machine learning, pbkp_redictionAutores:Christian Ortiz-Torres, Luis Barba-Guaman, Priscila Valdiviezo-Diaz, Ruth ReateguiFuentes:googlescopusCluster Analysis for Abstemious Characterization Based on Psycho-Social Information
Conference ObjectAbstract: The consumption of alcohol, tobacco and other drugs are a health and social problems worldwide. AccoPalabras claves:Abstemious, CLÚSTER ANALYSIS, ECUADOR, University StudentsAutores:Byron Fernando Bustamante-Granda, Jorge Gordón, Jorge Gordón Rogel, María José Boada, Pablo Ruisoto, Ruth Reategui, Torres-Carrion Pablo VicenteFuentes:googlescopusCollaborative Filtering Enhanced by Demographic Information for Tourist Sites Recommendations
Conference ObjectAbstract: Recommender systems are very applicable in the tourism domain to alleviate the information overloadPalabras claves:COLLABORATIVE FILTERING, Demographic filtering, Recommender system, TOURISMAutores:Luis Febre, Priscila Valdiviezo-Diaz, Ruth ReateguiFuentes:googlescopusComparison of MetaMap and cTAKES for entity extraction in clinical notes
ArticleAbstract: Background: Clinical notes such as discharge summaries have a semi- or unstructured format. These doPalabras claves:Clinical documents, cTAKES, MetaMap, UMLSAutores:Ratté S., Ruth ReateguiFuentes:googlescopusAutomatic extraction and aggregation of diseases from clinical notes
Conference ObjectAbstract: Clinical notes provide medical information about the patient’s health. The automatic extraction of tPalabras claves:Clinical notes, Clustering graphs, MetaMap, UMLSAutores:Ratté S., Ruth ReateguiFuentes:googlescopusAnalysis of Medical Documents with Text Mining and Association Rule Mining
Conference ObjectAbstract: Text mining techniques extracts meaningful information from large amounts of semi-structured and unsPalabras claves:Association rule mining, Clinical text, TEXT MININGAutores:Ratté S., Ruth ReateguiFuentes:googlescopusCongestive heart failure prediction based on feature selection and machine learning algorithms
Conference ObjectAbstract: Obesity is one of the main public health problems worldwide that present an association with many mePalabras claves:Congestive heart failure, feature selection, Machine learning, obesityAutores:Diego Morillo-Velepucha, Luis Barba-Guaman, Priscila Valdiviezo-Diaz, Ruth ReateguiFuentes:googlescopusApplication of Techniques Based on Artificial Intelligence for Predicting the Consumption of Drugs and Substances. A Systematic Mapping Review
Conference ObjectAbstract: The consumption of alcohol, drugs and substances constitutes one of the most serious public health pPalabras claves:Artificial Intelligence, Consumption of drugs, Pbkp_rediction models, Systematic mapping reviewAutores:Byron Fernando Bustamante-Granda, Jorge Gordón, Jorge Gordón Rogel, María José Boada, Pablo Ruisoto, Ruth Reategui, Torres-Carrion Pablo VicenteFuentes:googlescopusData Mining in Electrical Distribution Networks: Optimal Location of Pilot Bus
Conference ObjectAbstract: Pilot bus selection is a key parameter to the proper function of secondary voltage control strategiePalabras claves:CLÚSTER ANALYSIS, Data Mining, DISTRIBUTION NETWORK, Pilot busAutores:José Raúl Castro Mendieta, Ruth Reategui, Tuesman D. Castillo, Z. Ernesto JaramilloFuentes:googlescopusEcuadorian scholarly production in computer science. Analysis of publication patterns by gender
Conference ObjectAbstract: Men and women compose the human capital and workforce needed for the economic and social developmentPalabras claves:ECUADOR, Gender analysis, Publishing patterns, Scholarly production, SCOPUSAutores:Chizaiza J., Ruth ReateguiFuentes:googlescopus