GOTZ, STEFAN; García Gómez, Juan Miguel; Terol, Javier; Williams, Tim D.; Nagaraj, Shivashankar H.; Nueda, María José; Robles Viejo, Monserrat; Talón, Manuel; Dopazo, Joaquín; Conesa, Ana(Oxford University Press, 2008)
[EN] Functional genomics technologies have been widely adopted in the biological research of both model and non-model species. An efficient functional annotation of DNA or protein sequences is a major requirement for the ...
Parcero Iglesias, Estíbaliz(Universitat Politècnica de València, 2012-10-11)
En este proyecto se presenta un sistema de normalización terminológica que busca conseguir un sistema eficaz en base a número de términos correctamente mapeados e integrarse dentro de un servidor terminológico. Se implementa ...
Lerín Labrada, Irene(Universitat Politècnica de València, 2013-02-27)
[ES] El desarrollo de las técnicas de neuroimagen ha sido uno de los factores que han contribuido a la mejora de los tratamientos neuroquirúrgicos, lo que se ha traducido en un incremento de la esperanza de vida y una ...
In the last decade, machine learning (ML) techniques have been used for developing classifiers for automatic brain tumour diagnosis. However, the development of these ML models rely on a unique training set and learning ...
Tortajada Velert, Salvador(Universitat Politècnica de València, 2012-09-21)
During the last decade, a new trend in medicine is transforming the nature of healthcare from reactive to proactive. This new paradigm is changing into a personalized medicine where the prevention, diagnosis, and treatment ...
Marcos, M.; Maldonado Segura, José Alberto; Martinez-Salvador, B.; Boscá Tomás, Diego; Robles Viejo, Montserrat(Elsevier, 2013-08)
Clinical decision-support systems (CDSSs) comprise systems as diverse as sophisticated platforms to store and manage clinical data, tools to alert clinicians of problematic situations, or decision-making tools to assist ...
Fernández-Breis, Jesualdo Tomás; Maldonado Segura, José Alberto; Marcos, Marc; Legaz-García, María del Carmen; Moner Cano, David; Torres-Sospedra, Joaquín; Esteban-Gil, Angel; Martínez-Salvador, Begoña; Robles Viejo, Montserrat(BMJ Publishing Group, 2013-12)
Introduction
The secondary use of Electronic Healthcare Records (EHRs) often requires the identification
of patient cohorts. In this context, an important problem is the heterogeneity of clinical data
sources, which can ...
Purpose
To develop a powerful archetype editing framework capable of handling multiple reference models and oriented towards the semantic description and standardization of legacy data.
Methods
The main prerequisite ...
Lull Noguera, Nuria; Noé, E.; Lull Noguera, Juan José; García Panach, Javier; García Martí, Gracián; Chirivella, J.; Ferri, J.; Sopena, R; De la Cueva, L; Robles Viejo, Monserrat(Elsevier España (Elsevier Doyma), 2010-04)
Objetivos
Estudiar la relación entre el metabolismo talámico y la situación neurológica en pacientes que han sufrido un traumatismo craneoencefálico (TCE).
Material y métodos
Se incluyó a 19 pacientes que habían sufrido ...
Martínez Pérez, Borja; DE LA TORRE DIEZ, ISABEL; López Coronado, Miguel; Sainz de Abajo, Beatriz; Robles Viejo, Montserrat; García Gómez, Juan Miguel(Springer Verlag (Germany), 2014-01)
[EN] Background: The latest advances in eHealth and mHealth have propitiated the rapidly creation and expansion of mobile applications for health care. One of these types of applications are the clinical decision support ...
Camáñez Crespo, Jorge(Universitat Politècnica de València, 2017-03-06)
[ES] El objetivo de este proyecto es definir un método para modelar, mediante arquetipos del
estándar ISO13606, recursos o modelos clínicos originales del estándar HL7 FHIR. Dicho método
se ha diseñado a partir del ...
[EN] Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are subsequently ...
Romero Gómez, José Enrique; Manjón Herrera, José Vicente; Tohka, Jussi; Coupé, Pierrick; Robles Viejo, Montserrat(Elsevier, 2015-05)
In this paper, we propose an automatic method to segment the five main brain sub-regions (i.e. left/right hemispheres, left/right cerebellum and brainstem) from magnetic resonance images. The proposed method uses a library ...
[EN] In this paper we describe Pangea-LE, a message-oriented lightweight data integration engine that allows homogeneous and concurrent access to clinical information from disperse and heterogeneous data sources. The engine ...
Manjón Herrera, José Vicente; Eskildsen, Simon F.; Coupé, Pierrick; Romero Gómez, José Enrique; Collins, Louis; Robles Viejo, Montserrat(Hindawi Publishing Corporation, 2014-09-28)
[EN] Automatic and accurate methods to estimate normalized regional brain volumes from MRI data are valuable tools which may help to obtain an objective diagnosis and followup of many neurological diseases. To estimate ...
Lull Noguera, Juan José(Universitat Politècnica de València, 2015-04-01)
La Resonancia Magnética funcional (RMf) es una técnica moderna de neuroimagen que permite la localización de actividad neuronal con una alta resolución espacial. La técnica de RMf emplea los cambios locales de oxigenación ...
The comparison of the patient's current medication list with the
medication being ordered when admitted to Hospital, identifying omissions,
duplications, dosing errors, and potential interactions, constitutes the core ...
García Gómez, Juan Miguel(Universitat Politècnica de València, 2009-05-12)
El análisis sistémico de datos biomédicos procedentes de diferentes niveles biológicos
abre amplias expectativas en el proceso de toma de decisiones médicas. Las nuevas tecnologías
biomédicas permiten la interpretación del ...
Tortajada, S.; Garcia-Gomez, Juan M; Vicente, J.; Sanjuán, J.; de Frutos, R.; Martín-Santos, R.; García-Esteve, L.; Gornemann, I.; Gutiérrez-Zotes, A.; Canellas, F.; Carracedo, A.; Gratacos, M.; Guillamat, R.; Baca-García, E.; Robles Viejo, Montserrat(Schattauer GmbH (Methods of Information in Medicine), 2009)
[EN] Objective: The main goal of this paper is to obtain a classification model based on feed-forward multilayer perceptrons in order to improve postpartum depression prediction during the 32 weeks after childbirth with a ...
Sáez Silvestre, Carlos; Pereira Rodrigues, Pedro; Gama, João; Robles Viejo, Montserrat; García Gómez, Juan Miguel(Springer Verlag (Germany), 2014-09-02)
Knowledge discovery on biomedical data can be based on on-line, data-stream analyses, or using retrospective, timestamped, off-line datasets. In both cases, changes in the processes that generate data or in their quality ...