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Advances in Intelligent Systems and Computing(3)
Communications in Computer and Information Science(2)
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(2)
BMC Medical Informatics and Decision Making(1)
Journal of Medical Internet Research(1)
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Cluster 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:scopusComparison 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:googlescopusA Comparison of Machine Learning Algorithms to Pbkp_redict 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: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:googlescopusObesity cohorts based on comorbidities extracted from clinical notes
Conference ObjectAbstract: Clinical notes provide a comprehensive and overall impression of the patient’s health. However, thePalabras claves:Clinical notes, CLÚSTER ANALYSIS, MetaMap, obesity, Patient cohortsAutores:Estefanía Bautista-Valarezo, Ratté S., Ruth Reategui, Víctor DuqueFuentes:scopusMedical 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:scopusWord 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