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2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014(1)
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scopus(9)
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage
Conference ObjectAbstract: We propose a Bootstrap resampling approach for Feature Selection (FS) using the weights obtained byPalabras claves:Autores:Augestad K.M., Godtliebsen F., Hindberg K., Jenssen R., Jose Luis Rojo-Álvarez, Lindsetmo R.O., Mora-Jimnez I., Mortensen K., Revhaug A., Skrøvseth S., Soguero-Ruiz C.Fuentes:scopusAn interoperable system toward cardiac risk stratification from ECG monitoring
ArticleAbstract: Many indices have been proposed for cardiovascular risk stratification from electrocardiogram signalPalabras claves:ARCHETYPES, Cardiovascular risk stratification, Electronic health records, Heart rate turbulence, Heart Rate Variability, Semantic Interoperability, web systemAutores:Díez-Mazuela D., Fernández T.Q., GarcÍa-Alberola A., García-García A., Jose Luis Rojo-Álvarez, Mora-Jimnez I., Ramos-López J., Soguero-Ruiz C.Fuentes:scopusELab: A web-based platform to perform HRV and HRT analysis and store cardiac signals
Conference ObjectAbstract: This study aimed to develop a user-friendly, modular and scalable web-based system, that would allowPalabras claves:Autores:Barquero-Perez O., Bravo R., Cabanas M., De La Rosa M., GarcÍa-Alberola A., Garia-Munoz J., Gonzalez I., Jose Luis Rojo-Álvarez, Quintanilla T., Soguero-Ruiz C., Wilby M.R.Fuentes:scopusOntology for heart rate turbulence domain from the conceptual model of SNOMED-CT
ArticleAbstract: Electronic health record (EHR) automates the clinician workflow, allowing evidence-based decision suPalabras claves:Cardiovascular Risk, Conceptual model, electrocardiogram (ECG), electronic health recording(EHR), Heart rate turbulence (HRT), ontology, SNOMED-CTAutores:Barquero-Perez O., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Lechuga-Suarez L., Mora-Jimnez I., Ramos-Lpez J., Soguero-Ruiz C.Fuentes:scopusTowards semantic interoperability for cardiovascular risk stratification into the electronic health records using archetypes and SNOMED-CT
Conference ObjectAbstract: Clinical data exchange among different organizations can be of great value in the field of CardiovasPalabras claves:Autores:GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Lechuga L., Mora-Jimnez I., Ramos-Lpez J., Sánchez-Caro A., Serrano-Balazote P., Soguero-Ruiz C.Fuentes:scopusPbkp_redicting colorectal surgical complications using heterogeneous clinical data and kernel methods
ArticleAbstract: Objective: In this work, we have developed a learning system capable of exploiting information convePalabras claves:clinical decision support, Colorectal cancer, Electronic health records, feature selection, Heterogeneous clinical data, kernel methodsAutores:Augestad K.M., Godtliebsen F., Hindberg K., Jenssen R., Jose Luis Rojo-Álvarez, Lindsetmo R.O., Mora-Jimnez I., Mortensen K., Revhaug A., Skrøvseth S., Soguero-Ruiz C.Fuentes:scopusPbkp_rediction of healthcare associated infections in an intensive care unit using machine learning and big data tools
Conference ObjectAbstract: Healthcare associated infections (HAIS) can be acquired by patients during their stay in a hospital.Palabras claves:BIG DATA, Healthcare Associated Infections, Intensive Unit Care, Machine learning, RISK FACTORSAutores:Álvarez-Rodríguez J., Jose Luis Rojo-Álvarez, Ramos-Lpez J., Revuelta-Zamorano P., Sanchez A., Soguero-Ruiz C.Fuentes:scopusSpectral and nonlinear analysis of surgical ventricular fibrillation
Conference ObjectAbstract: Most studies about ventricular fibrillation (VF) in humans have attempted to analyze the first minutPalabras claves:Autores:Barquero-Perez O., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Pulido-Hidalgo F., Sánchez-Muñoz J.J., Soguero-Ruiz C.Fuentes:scopusSupport Vector Feature Selection for Early Detection of Anastomosis Leakage from Bag-of-Words in Electronic Health Records
ArticleAbstract: The free text in electronic health records (EHRs) conveys a huge amount of clinical information abouPalabras claves:Anastomosis leakage (AL), bag-of-words (BoWs), colorectal cancer (CRC), Early Detection, electronic health record (EHR), feature selection (FS), kernel entropy, support vector machine (SVM)Autores:Augestad K.M., Godtliebsen F., Hindberg K., Jenssen R., Jose Luis Rojo-Álvarez, Lindsetmo R.O., Mortensen K., Revhaug A., Skrøvseth S., Soguero-Ruiz C.Fuentes:scopus