RiuNet UPV Home
:
Browsing by Author

Search RiuNet

Browse

All of RiuNet

My Account

RiuNet Help

Admin. UPV

Browsing by Author "García Gómez, Juan Miguel"

Now showing items 21-40 of 152

Biomedical signal analysis in automatic classification problems

Fuster García, Elíes (Editorial Universitat Politècnica de València, 2012-09-20)

A lo largo de la última década hemos asistido a un desarrollo sin precedentes de las tecnologías de la salud. Los avances en la informatización, la creación de redes, las técnicas de imagen, la robótica, las micro/nano ...
Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research

Conesa, Ana; Götz, Stefan; Garcia-Gomez, Juan M; Terol, Javier; Talón, Manuel; Robles Viejo, Montserrat (Oxford University Press, 2005-09-15)

[EN] We present here Blast2GO (B2G), a research tool designed with the main purpose of enabling Gene Ontology (GO) based data mining on sequence data for which no GO annotation is yet available. B2G joints in one application ...
CARACTERIZACIÓN DE LAS MÉTRICAS DE ESTABILIDAD DE FUENTE DE DATOS EN LOS REPOSITORIOS BIOMÉDICOS

Ferri Borredá, Pablo (Universitat Politècnica de València, 2017-07-20)

The degree of homogeneity among data distributions is a critical issue when reusing data integrated from different sources, since the introduction of undesired variabilities may lead to misleading results. Therefore, ...
Characterization of vascular heterogeneity of astrocytomas grade 4 for supporting patient prognosis estimation, and treatment response assessment

Álvarez Torres, Maria del Mar (Universitat Politècnica de València, 2022-10-31)

[ES] Los tumores cerebrales son una de las enfermedades más devastadoras en la actualidad por el importante deterioro cognitivo que sufren los pacientes, la elevada tasa de mortalidad y el mal pronóstico. Los astrocitomas ...
Clinical Decision Support Systems for Brain Tumour Diagnosis: Classification and Evaluation Approaches

Vicente Robledo, Javier (Editorial Universitat Politècnica de València, 2012-10-15)

A lo largo de las últimas décadas, la disponibilidad cada vez mayor de grandes cantidades de información biomédica ha potenciado el desarrollo de herramientas que permiten extraer e inferir conocimiento. El aumento de ...
Clinical Decision Support Systems for Palliative Care Referral: Design and Evaluation of Frailty and Mortality Predictive Models

Blanes Selva, Vicent (Universitat Politècnica de València, 2022-12-30)

[ES] Los Cuidados Paliativos (PC) son cuidados médicos especializados cuyo objetivo esmejorar la calidad de vida de los pacientes con enfermedades graves. Históricamente,se han aplicado a los pacientes en fase terminal, ...
Community detection-based deep neural network architectures: A fully automated framework based on Likert-scale data

Perez-Benito, Francisco Javier; Garcia-Gomez, Juan M.; NAVARRO PARDO, ESPERANZA; Conejero, J. Alberto (John Wiley & Sons, 2020-09-30)

[EN] Deep neural networks (DNNs) have emerged as a state-of-the-art tool in very different research fields due to its adaptive power to the decision space since they do not presuppose any linear relationship between data. ...
Comparative study of probability distribution distances to define a metric for the stability of multi-source biomedical research data

Sáez Silvestre, Carlos; Robles Viejo, Montserrat; García Gómez, Juan Miguel (2013-07)

Research biobanks are often composed by data from multiple sources. In some cases, these different subsets of data may present dissimilarities among their probability density functions (PDF) due to spatial shifts. This, ...
Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra

Fuster García, Elíes; Navarro., Clara; Vicente Robledo, Javier; Tortajada Velert, Salvador; García Gómez, Juan Miguel; Sáez Silvestre, Carlos; Calvar ., Jorge; Griffiths ., John; Julia Sape, Margarita; Howe ., Franklyn A; Pujol ., Jesús; Peet ., Andrew C; Heerschap ., Arend; Moreno Torres, Àngel; Martínez-Bisbal, M.Carmen; Martinez Granados, Beatriz; Wesseling ., Pieter; Semmler ., Wolfhard; Capellades ., Jaume; Majós ., Carles; Alberich Bayarri, Ángel; Capdevila ., Antoni; Monleón ., Daniel; Marti Bonmati, Luis; Arús ., Carles; Celda ., Bernardo; Robles Viejo, Montserrat (Springer Verlag (Germany), 2011-02)

Object: This study demonstrates that 3T SV-MRS data can be used with the currently available automatic brain tumour diagnostic classifiers which were trained on databases of 1.5T spectra. This will allow the existing large ...
Complementary frailty and mortality prediction models on older patients as a tool for assessing palliative care needs

Blanes-Selva, Vicent; Doñate-Martínez, Ascensión; Linklater, Gordon; Garcia-Gomez, Juan M (SAGE Publications, 2022-04)

[EN] Palliative care (PC) has demonstrated benefits for life-limiting illnesses. Bad survival prognosis and patients' decline are working criteria to guide PC decision-making for older patients. Still, there is not a clear ...
Computer science in a multidisciplinary environment : quantum cryptography and econophysics

Garcés Díaz-Munío, Gonzalo Vicente (Universitat Politècnica de València, 2012-02-23)

Students of computer science are becoming increasingly specialized, but to work in multidisciplinary teams they need to appreciate different perspectives and methods. This Final Year Project was carried out in the Physics ...
Construction of quality-assured infant feeding process of care data repositories: construction of the perinatal repository (Part 2)

Garcia-de-Leon-Chocano, Ricardo; Munoz-Soler, Veronica; Sáez Silvestre, Carlos; Garcia-de-Leon-Gonzalez, Ricardo; Garcia-Gomez, Juan M (Elsevier, 2016)

[EN] This is the second in a series of two papers regarding the construction of data quality (DQ) assured repositories, based on population data from Electronic Health Records (EHR), for the reuse of information on infant ...
Construction of quality-assured infant feeding process of care data repositories: definition and design (Part 1)

Garcia De Leon Chocano, Ricardo; Sáez Silvestre, Carlos; Muñoz Soler, Verónica; García de León González, Ricardo; García Gómez, Juan Miguel (Elsevier, 2015-12-01)

This is the first paper of a series of two regarding the construction of data quality (DQ) assured repositories for the reuse of information on infant feeding from birth until two years old. This first paper justifies the ...
Corpus based learning of stochastic, context-free grammars combined with Hidden Markov Models for tRNA modelling

García Gómez, Juan Miguel; Benedí Ruiz, José Miguel; Vicente Robledo, Javier; Robles Viejo, Montserrat (Inderscience, 2005)

[EN] In this paper, a new method for modelling tRNA secondary structures is presented. This method is based on the combination of stochastic context-free grammars (SCFG) and Hidden Markov Models (HMM). HMM are used to ...
Data-driven discovery of changes in clinical code usage over time: a case-study on changes in cardiovascular disease recording in two English electronic health records databases (2001-2015)

Rockenschaub, Patrick; Nguyen, Vincent; Aldridge, Robert W.; Acosta, Dionisio; Garcia-Gomez, Juan M; Sáez Silvestre, Carlos (BMJ, 2020-02)

[EN] Objectives To demonstrate how data-driven variability methods can be used to identify changes in disease recording in two English electronic health records databases between 2001 and 2015. Design Repeated cross-sectional ...
Decision engine software for Computer-Interpretable guidelines implementation

Pérez González, Alfonso María (Universitat Politècnica de València, 2015-07-17)

[EN] This work presents a decision support system (Criterion) that permits to develop guidelines in which the decision making is done in an environment of uncertainty. The proposed system gives the user the capability to ...
Deep Continual Multimodal Multitask Models for Out-of-Hospital Emergency Medical Call Incidents Triage Support in the Presence of Dataset Shifts

Ferri Borredà, Pablo (Universitat Politècnica de València, 2024-03-28)

[ES] El triaje de los incidentes de urgencias y emergencias extrahospitalarias representa un reto difícil, debido a las limitaciones temporales y a la incertidumbre. Además, errores en este proceso pueden tener graves ...
Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch

Ferri-Borredà, Pablo; Sáez Silvestre, Carlos; Felix-De Castro, Antonio; Juan-Albarracín, Javier; Blanes-Selva, Vicent; Sánchez-Cuesta, Purificación; Garcia-Gomez, Juan M (Elsevier, 2021-07)

[EN] The objective of this work was to develop a predictive model to aid non-clinical dispatchers to classify emergency medical call incidents by their life-threatening level (yes/no), admissible response delay (undelayable, ...
Deep Learning en segmentación de imagen médica

García Ferrando, Germán Adrián (Universitat Politècnica de València, 2017-09-01)

The main goal of this Project is to apply Deep Learning techniques in the segmentation of two complex structures in medical image analysis: segmentation of the prostate and segmentation of the femoral head. Both of then ...
Desarrollo de modelos predictivos y una aplicación móvil para la predicción de la depresión postparto

Jiménez Serrano, Santiago (Universitat Politècnica de València, 2014-05-15)

[EN] Postpartum depression is a disabling universal disease that affects many women from different countries during a key life stage for her and her newborn. The aim of this research involved the creation of classification ...