Mostrando 10 resultados de: 19
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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:googlescopusA business intelligence model for online tutoring process
Conference ObjectAbstract: This work aims to implement business intelligence strategies in an educational institution based onPalabras claves:business intelligence systems, DATA WAREHOUSES, learning analytics, Online TutoringAutores:J. Aguilar Castro, J. Cordero Zambrano, Jorge Cordero, José Lisandro Aguilar Castro, P. Valdiviezo Diaz, Priscila Valdiviezo-Diaz, R. Reategui Rojas, Ruth ReateguiFuentes:rraaescopusA network-based analysis of medical information extracted from electronic medical records
Conference ObjectAbstract: Clinical notes constitute a rich source of medical information that could be useful in identifying gPalabras claves:Electronic medical records, graph, network, obesityAutores:Estefanía Bautista-Valarezo, J. F. Beltran-Valdivieso, Ratté S., Ruth ReateguiFuentes:scopusCluster Analysis of Obesity Disease Based on Comorbidities Extracted from Clinical Notes
ArticleAbstract: Clinical notes provide a comprehensive and overall impression of the patient’s health. However, thePalabras claves:Clinical notes, CLÚSTER ANALYSIS, cTAKES, obesityAutores:Estefanía Bautista-Valarezo, Ratté S., Ruth Reategui, Víctor DuqueFuentes:scopusCluster analysis to identify groups of diabetic patients based on symptoms
ArticleAbstract: Currently, health professionals use computer systems to save patient information. This information cPalabras claves:CLÚSTER ANALYSIS, DBscan, DIABÉTES, LSA, Machine learningAutores:Campozano R., Edgar Daza, Ruth ReateguiFuentes:scopusCollaborative 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 Clusters Algorithms to Identify Patterns in Information Related to Cervical Cancer
Conference ObjectAbstract: Cervical cancer is the third cause of female death worldwide. Cervical cytology carried out on womenPalabras claves:Cervical Cancer, CLÚSTER ANALYSIS, DBscan, PAMAutores:Estefanía Bautista-Valarezo, Mayra Ortega-Vivanco, Ortega-G C., Priscila Valdiviezo-Diaz, Ruth ReateguiFuentes:scopusComparison 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:googlescopus