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Listar por autor "Tortajada Velert, Salvador"

Mostrando ítems 1-20 de 21

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A comparison of Covid-19 early detection between convolutional neural networks and radiologists

Albiol Colomer, Alberto; Albiol, Francisco; Paredes Palacios, Roberto; Plasencia-Martínez, Juana María; Blanco Barrio, Ana; García Santos, José M.; Tortajada, Salvador; González Montaño, Victoria M.; Rodríguez Godoy, Clara E.; Fernández Gómez, Saray; Oliver-Garcia, Elena; de la Iglesia Vayá, María; Márquez Pérez, Francisca L.; Rayo Madrid, Juan I. (SpringerOpen, 2022-07-28)

[EN] Background The role of chest radiography in COVID-19 disease has changed since the beginning of the pandemic from a diagnostic tool when microbiological resources were scarce to a different one focused on detecting ...
A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents

Sáez Silvestre, Carlos; García Gómez, Juan Miguel; Vicente Robledo, Javier; Tortajada Velert, Salvador; Luts, Jan; Dupplaw, David; Van Huffel, Sabine; Robles Viejo, Montserrat (Cambridge University Press (CUP), 2011-09)

[EN] New biomedical technologies enable the diagnosis of brain tumours by using non-invasive methods. HealthAgents is a European Union-funded research project that aims to build an agent-based distributed decision support ...
A methodology for implementing risk management and decision support in computerized clinical practice guidelines using evidence-based utility estimation

Castillo Orellano, Ernesto (Universitat Politècnica de València, 2017-01-10)

[EN] Current Clinical Practice Guidelines (CPGs) are mainly supported by evidence-based medicine findings to avoid unjustified practice variations. Nevertheles, they lack the management of risk and uncertainty. Besides, ...
A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterization

Tortajada, Salvador; Albiol, Francisco; Caballero, Luis; Albiol Colomer, Alberto; Leganés-Nieto, Jose Luis (Nature Publishing Group, 2023-07-28)

[EN] One of the main activities of the nuclear industry is the characterisation of radioactive waste based on the detection of gamma radiation. Large volumes of radioactive waste are classified according to their average ...
Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study

Vicente Robledo, Javier; Fuster García, Elíes; Tortajada Velert, Salvador; García Gómez, Juan Miguel; Davies, Nigel; Natarajan, Kal; Wilson, Martin; Grundy, Richard G.; Wesseling, Pieter; Monleón, Daniel; Celda, Bernardo; Robles, Montserrat; Peet, Andrew C. (Elsevier, 2013-02)

Aims: To evaluate the accuracy of single-voxel Magnetic Resonance Spectroscopy (1H-MRS) as a non-invasive diagnostic aid for pediatric brain tumours in a multi-national study. Our hypotheses are (1) that automated cla ...
Análisis y predicción de la tendencia al rechazo de riñón por perfil genético basado en SNP's

Segura Roda, Laura (Universitat Politècnica de València, 2011-09-21)

El riñón es uno de los órganos encargados de excretar las sustancias tóxicas y seleccionar aquellas útiles, devolviéndolas al organismo. El ser humano dispone de 2 riñones y, a pesar de poder vivir con un único riñón si ...
Application of Artificial Neural Network for Reducing Random Coincidences in PET

Oliver, J,F.; Fuster García, Elíes; Cabello, J.; Tortajada Velert, Salvador; Rafecas Lopez, Maria Magdalena (Institute of Electrical and Electronics Engineers (IEEE), 2013-10)

Positron Emission Tomography (PET) is based on the detection in coincidence of the two photons created in a positron annihilation. In conventional PET, this coincidence identification is usually carried out through a ...
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 ...
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 ...
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 ...
Desarrollo de un algoritmo de asignación de riesgo de desarrollo de cardiopatías en pacientes diabéticos en base a su ruta clínica

Carrasco Ribelles, Lucía Amalia (Universitat Politècnica de València, 2018-09-04)

[ES] Introducción: La diabetes es un trastorno metabólico que afecta a más del 10% de la población española, cifra que aumenta cada año. Estos pacientes pueden desarrollar muchas complicaciones y la prevención es crucial ...
Design of 1-year mortality forecast at hospital admission: A machine learning approach

Blanes-Selva, Vicent; Ruiz-García, Vicente; Tortajada, Salvador; Benedí Ruiz, José Miguel; Valdivieso, Bernardo; Garcia-Gomez, Juan M (SAGE Publications, 2021-01)

[EN] Palliative care is referred to a set of programs for patients that suffer life-limiting illnesses. These programs aim to maximize the quality of life (QoL) for the last stage of life. They are currently based on ...
Extracting MRS discriminant functional features of brain tumors

Fuster García, Elíes; Tortajada Velert, Salvador; Vicente Robledo, Javier; Robles Viejo, Montserrat; García Gómez, Juan Miguel (Wiley-Blackwell, 2013-05)

The current challenge in automatic brain tumor classification based on MRS is the improvement of the robustness of the classification models that explicitly account for the probable breach of the independent and identically ...
Incremental gaussian discriminant analysis based on graybill and deal weighted combination of estimators for brain tumour diagnosis

Tortajada Velert, Salvador; Fuster García, Elíes; Vicente Robledo, Javier; Wesseling, Pieter; Howe, Franklyn; Julià-Sapé, Margarida; Candiota, Ana-Paula; Monleón, Daniel; Moreno-Torres, Àngel; Pujol, Jesús; Griffiths, Jonh R.; Wright, Alan; Peet, Andrew C.; Martínez-Bisbal, M. Carmen; Celda, Bernardo; Arús, Carles; Robles Viejo, Montserrat; García Gómez, Juan Miguel (Elsevier, 2011-08)

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 ...
Incremental Learning approaches to Biomedical decision problems

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 ...
Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

Garcia-Gomez, Juan M; Luts, Jan; Julia-Sape, Margarida; Krooshof, Patrick; Tortajada Velert, Salvador; Vicente Robledo, Javier; Melssen, Willem; Fuster García, Elíes; Olier, Ivan; Postma, Geert; Monleon, Daniel; Moreno-Torres, Angel; Pujol, Jesus; Candiota, Ana-Paula; Martínez-Bisbal, M.Carmen; Suykens, Johan; Buydens, Lutgarde; Celda, Bernardo; Van Huffel, Sabine; Arus, Carles; Robles Viejo, Montserrat (Springer-Verlag, 2009-02)

[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 ...
Predicting morbidity by local similarities in multi-scale patient trajectories

Carrasco-Ribelles, Lucía Amalia; Pardo-Más, Jose Ramón; Tortajada, Salvador; Sáez Silvestre, Carlos; Valdivieso, Bernardo; Garcia-Gomez, Juan M (Elsevier, 2021-08)

[EN] Patient Trajectories (PTs) are a method of representing the temporal evolution of patients. They can include information from different sources and be used in socio-medical or clinical domains. PTs have generally been ...
Prediction of Postpartum Depression Using Multilayer Perceptrons and Pruning

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 ...
Sistemas de ayuda a la decisión médica

García Gómez, Juan Miguel; Tortajada Velert, Salvador; Sáez Silvestre, Carlos (Editorial Universitat Politècnica de València, 2019-07-09)

Los datos se han convertido en un torrente que fluye en todos los ámbitos de la sociedad. La aplicación de la Inteligencia Artificial al ámbito de la salud es posiblemente el de mayor impacto social, por las implicaciones ...
Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years

Perez-Benito, Francisco Javier; Sáez Silvestre, Carlos; Conejero, J. Alberto; Tortajada, Salvador; Valdivieso, Bernardo; Garcia-Gomez, Juan M (Public Library of Science, 2019-08-07)

[EN] Objective To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years. Materials and methods Temporal Variability Assessment (TVA) based on ...