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Communications in Computer and Information Science(3)
Advances in Intelligent Systems and Computing(2)
Iberian Conference on Information Systems and Technologies, CISTI(1)
Journal of Medical Internet Research(1)
Journal of Medical Systems(1)
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Medicina y salud(6)
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Cluster 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:googlescopusCluster 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: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:scopusAutomatic 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:googlescopusCongestive 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:googlescopusExploratory Data Analysis on Cervical Cancer Diseases
Conference ObjectAbstract: Cervical cancer is a major public health problem that mainly affects women with active sexual life.Palabras claves:Cervical Cancer, data visualization, Exploratory data analysisAutores:Luis Barba-Guaman, Mayra Ortega-Vivanco, Priscila Valdiviezo-Diaz, Ruth ReateguiFuentes:googlescopusFirst contribution to complex emotion recognition in patients with alzheimer’s disease
ArticleAbstract: The analysis of emotions in patients with Alzheimer’s disease is a field that has been extensively sPalabras claves:Alzheimer’s disease, emotions, GSP, OntologiesAutores:A. Hector F. Gomez, Alexandra González-Eras, Franco Guamán, Guido E. Riofrio, José Barbosa Corbacho, Juan Carlos Torres-Díaz, Juan Manuel García-Samaniego, Priscila Valdiviezo-Diaz, Ratté S., Ruth Reategui, Susana AriasFuentes: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:scopus