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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
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Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS(2)
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A data-driven approach for analyzing healthcare services extracted from clinical records
Conference ObjectAbstract: Cancer remains one of the major public health challenges worldwide. After cardiovascular diseases, cPalabras claves:Data-driven, EHR, Hospitalization processes, lung cancer, Patient managementAutores:María-Esther Vidal, Menasalvas Ruiz E., Paliouras G., Provencio Pulla M., Rodriguez-Gonzalez A., Scurti M., Torrente M., Vogiatzis D.Fuentes:scopusA workow for improving medical visualization of semantically annotated CT-images
Conference ObjectAbstract: RadLex and Foundational Model of Anatomy (FMA) ontologies represent anatomic and image characteristiPalabras claves:Autores:A. La Cruz, Baranya A., Landaeta L., María-Esther VidalFuentes:scopusBioNavigation: Selecting optimum paths through biological resources to evaluate ontological navigational queries
Conference ObjectAbstract: In this paper we present the BioNavigation system that allows scientists to express their queries usPalabras claves:Autores:Cardenas M., Lacroix Z., María-Esther Vidal, Marquez N., Parekh K.Fuentes:scopusAn automatic method for the enrichment of DICOM metadata using biomedical ontologies
Conference ObjectAbstract: This work is a novel contribution for enriching medical images using semantic annotations with a strPalabras claves:Autores:A. La Cruz, La Cruz Puente Alexandra, Marco Andrés Tello Guerrero, María-Esther Vidal, Víctor Saquicela, Wilson Perez, Wilson Rodrigo Pérez RocanoFuentes:rraaescopusAn Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study
ArticleAbstract: Background: Artificial intelligence (AI) has contributed substantially in recent years to the resoluPalabras claves:Artificial Intelligence, Cancer patients, Data integration, decision support system, patient stratification, precision oncologyAutores:Blanco M., Calvo V., Campos M., Collazo A., Costabello L., Guerreiro G.R., Hernández R., María-Esther Vidal, Menasalvas Ruiz E., Novacek V., Núñez B., Pimentao J., Provencio Pulla M., Sánchez J.C., Sousa P.A., Torrente M.Fuentes:scopusDeductive web services: An ontology-driven approach for service interoperability in life science
Conference ObjectAbstract: We present an ontology-driven approach to service composition with deductive databases. We formalizePalabras claves:Autores:Lacroix Z., María-Esther Vidal, Ruckhaus E., Yacoubi Ayadi N.Fuentes:scopusEfficient techniques to explore and rank paths in life science data sources
ArticleAbstract: Life science data sources represent a complex link-driven federation of publicly available Web accesPalabras claves:Autores:Lacroix Z., María-Esther Vidal, Rashid L.Fuentes:scopusGrid technology in telepatology and personalised treatment
Book PartAbstract: Histopathology requires automation, quality control and global collaborative tools. Usually the PIMSPalabras claves:Autores:Ferrer-Roca O., Iglesias E., Marcan F., María-Esther Vidal, Ruckhaus E., Santos X.Fuentes:scopusImplementing a Bioinformatics Pipeline (BIP) on a Mediator Platform: Comparing Cost and Quality of Alternate Choices
Conference ObjectAbstract: We address the challenges of supporting scientific workflow design for a bioinformatics pipeline (BIPalabras claves:Autores:Eckman B.A., Gaasterland T., Lacroix Z., María-Esther Vidal, Rashid L., Snyder B.Fuentes:scopusImproving Early Prognosis of Dementia Using Machine Learning Methods
ArticleAbstract: Early and precise prognosis of dementia is a critical medical challenge. The design of an optimal coPalabras claves:dementia, Machine learning, prognosisAutores:Aisopos F., Garrard P., Katsimpras G., María-Esther Vidal, Paliouras G.Fuentes:scopus