S. Tortajada

发表

Definition of loss functions for learning from imbalanced data to minimize evaluation metrics.

J. M. García-Gómez, S. Tortajada, 2015, Methods in molecular biology.

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.

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.

Prediction of Postpartum Depression Using Multilayer Perceptrons and Pruning

M. Gratacós, E. Baca-García, R. Guillamat, 2009, Methods of Information in Medicine.

Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years

J. Conejero, F. J. Pérez-Benito, C. Sáez, 2019, PloS one.

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

A. Albiol, F. Albiol, S. Tortajada, 2022, Insights into Imaging.

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 .

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

A. Albiol, F. Albiol, S. Tortajada, 2022, Insights into Imaging.

A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents

Sabine Van Huffel, Carlos Sáez, Juan Miguel García-Gómez, 2011, The Knowledge Engineering Review.

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.

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.

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.

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.

Extracting MRS discriminant functional features of brain tumors

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

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.

Case Management for Patients with Complex Multimorbidity: Development and Validation of a Coordinated Intervention between Primary and Hospital Care

J. M. García-Gómez, S. Tortajada, E. Soriano-Melchor, 2017, International journal of integrated care.

Ranking of Brain Tumour Classifiers Using a Bayesian Approach

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

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 Multiagent System Proposal for 30 Day Readmission Problem Management

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