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RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(2)
Advances in Intelligent Systems and Computing(1)
BMC Medical Informatics and Decision Making(1)
Communications in Computer and Information Science(1)
Iberian Conference on Information Systems and Technologies, CISTI(1)
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Medicina y salud(5)
Funcionamiento de bibliotecas y archivos(4)
Ciencias de la computación(2)
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Comparison 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: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:googlescopusA 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:scopusCongestive heart failure pbkp_rediction 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:googlescopusDrug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation
ArticleAbstract: Background: Diabetes is a public health problem worldwide. Although diabetes is a chronic and incuraPalabras claves:Chronic Disease, Clustering, COLLABORATIVE FILTERING, Data Mining, DIABÉTES, drug, Machine learning, Patient information, recommend, Recommender systemAutores:Luis Barba-Guaman, Luis Fernando Granda Morales, Priscila Valdiviezo-Diaz, Ruth ReateguiFuentes:googlescopusMedical terminologies for the automatic grouping of diseases and treatments codified by computer system
ArticleAbstract: Computer systems in the area of health store patient information. These systems use terminologies thPalabras claves:Clinical codes, Electronic health records, Medical codes, UMLSAutores:Ruth Reategui, Silvana CuencaFuentes:scopusUsing domain ontologies for text classification. A use case to classify computer science papers
Conference ObjectAbstract: The web facilitates the creation, publication, and exchange of a wide variety of information. ParticPalabras claves:Computer science, domain ontology, Scholarly production, SCOPUS, Text classificationAutores:Chizaiza J., Janneth Chicaiza, Ruth ReateguiFuentes:googlescopusWord embedding application for rendering and exploration of unstructured medical information
ArticleAbstract: Digital medical records store information that can describe a patient’s health. Word embedding allowPalabras claves:HER, word embedding, Word2VecAutores:Luis Jaramillo-Uday, Ruth ReateguiFuentes:scopus