Salvador Tortajada

发表

Genomics and metabolomics research of Brain Tumours based on Machine Learning

Sabine Van Huffel, Alfons Juan-Císcar, Juan Miguel García-Gómez, 2007 .

Coincidence Identification in PET Using Neural

Salvador Tortajada, Elies Fuster-Garcia, Josep F. Oliver, 2008 .

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

Sabine Van Huffel, Salvador Tortajada, Jan Luts, 2008, Magnetic Resonance Materials in Physics, Biology and Medicine.

Reducing random coincidences in PET by using artificial neural networks

Magdalena Rafecas, Salvador Tortajada, Josep F. Oliver, 2010 .

Extracting MRS discriminant functional features of brain tumors

Salvador Tortajada, Javier Vicente, Montserrat Robles, 2013, NMR in biomedicine.

Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra

Carlos Sáez, Wolfhard Semmler, Salvador Tortajada, 2011, Magnetic Resonance Materials in Physics, Biology and Medicine.

Application of Artificial Neural Network for Reducing Random Coincidences in PET

Magdalena Rafecas, Salvador Tortajada, Jorge Cabello, 2013, IEEE Transactions on Nuclear Science.

An audit method suited for decision support systems for clinical environment

Juan Miguel García-Gómez, Salvador Tortajada, Montserrat Robles, 2012, 2012 6th IEEE International Conference Intelligent Systems.

A Multiagent System Proposal for 30 Day Readmission Problem Management

Salvador Tortajada, Lenin-G. Lemus-Zúñiga, José Miguel Montañana, 2015, KES-AMSTA.

Incremental logistic regression for customizing automatic diagnostic models.

Juan Miguel García-Gómez, Salvador Tortajada, Montserrat Robles, 2015, Methods in molecular biology.

Ranking of Brain Tumour Classifiers Using a Bayesian Approach

Juan Miguel García-Gómez, Salvador Tortajada, Margarida Julià-Sapé, 2009, IWANN.

The effect of combining two echo times in automatic brain tumor classification by MRS

Sabine Van Huffel, Juan M García-Gómez, Salvador Tortajada, 2008, NMR in biomedicine.

Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis

Salvador Tortajada, Javier Vicente, Margarida Julià-Sapé, 2011, J. Biomed. Informatics.

Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning

Sabine Van Huffel, Alfons Juan-Císcar, Juan Miguel García-Gómez, 2007, IWANN.

A Standardized and Data Quality Assessed Maternal-Child Care Integrated Data Repository for Research and Monitoring of Best Practices: A Pilot Project in Spain.

Diego Boscá, Carlos Sáez, Juan M García-Gómez, 2017, Studies in health technology and informatics.

Machine Learning-Based Identification of Obesity from Positive and Unlabelled Electronic Health Records

Juan M García-Gómez, Salvador Tortajada, Ruth Vilar, 2020, MIE.

Design of one-year mortality forecast at hospital admission based: a machine learning approach

Juan Miguel García-Gómez, Salvador Tortajada, José-Miguel Benedí, 2019, ArXiv.

Predicting morbidity by local similarities in multi-scale patient trajectories

Carlos Sáez, Salvador Tortajada, Juan M. García-Gómez, 2021, J. Biomed. Informatics.

A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning.

Juan Miguel García-Gómez, Salvador Tortajada, Santiago Jiménez-Serrano, 2015, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

Computerized Decision Support System and Naïve Bayes Models for Predicting the Risk of Relapse in Breast Cancer

Salvador Tortajada, Daniel Palacios-Alonso, Juan M. García-Gómez, 2014 .

Accurate classification of childhood brain tumours by in vivo ¹H MRS - a multi-centre study.

Pieter Wesseling, Salvador Tortajada, Javier Vicente, 2013, European journal of cancer.