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Salvador Tortajada

Showing results (1-10 of 19) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|November 24, 2014
Definition of loss functions for learning from imbalanced data to minimize evaluation metricsJuan Miguel García-Gómez, Salvador Tortajada
Methods in Molecular Biology (Clifton, N.J.)|November 24, 2014
Incremental logistic regression for customizing automatic diagnostic modelsSalvador Tortajada, Montserrat Robles, Juan Miguel García-Gómez
Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association|March 4, 2015
A Mobile Health Application to Predict Postpartum Depression Based on Machine LearningSantiago Jiménez-Serrano, Salvador Tortajada, Juan Miguel García-Gómez
Scientific Reports|July 28, 2023
A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterizationSalvador Tortajada, Francisco Albiol, Luis Caballero, et al.
NMR in Biomedicine|December 15, 2012
Extracting MRS discriminant functional features of brain tumorsElies Fuster-Garcia, Salvador Tortajada, Javier Vicente, et al.
Studies in Health Technology and Informatics|June 24, 2020
Machine Learning-Based Identification of Obesity from Positive and Unlabelled Electronic Health RecordsVicent Blanes-Selva, Salvador Tortajada, Ruth Vilar, et al.
Plos One|August 8, 2019
Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven yearsFrancisco Javier Pérez-Benito, Carlos Sáez, J Alberto Conejero, et al.
Health Informatics Journal|January 13, 2021
Design of 1-year mortality forecast at hospital admission: A machine learning approachVicent Blanes-Selva, Vicente Ruiz-García, Salvador Tortajada, et al.
Journal of Biomedical Informatics|June 13, 2021
Predicting morbidity by local similarities in multi-scale patient trajectoriesLucía A Carrasco-Ribelles, Jose Ramón Pardo-Mas, Salvador Tortajada, et al.
NMR in Biomedicine|September 2, 2008
The effect of combining two echo times in automatic brain tumor classification by MRSJuan M García-Gómez, Salvador Tortajada, César Vidal, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|November 24, 2014
Definition of loss functions for learning from imbalanced data to minimize evaluation metricsJuan Miguel García-Gómez, Salvador Tortajada
Methods in Molecular Biology (Clifton, N.J.)|November 24, 2014
Incremental logistic regression for customizing automatic diagnostic modelsSalvador Tortajada, Montserrat Robles, Juan Miguel García-Gómez
Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association|March 4, 2015
A Mobile Health Application to Predict Postpartum Depression Based on Machine LearningSantiago Jiménez-Serrano, Salvador Tortajada, Juan Miguel García-Gómez
Scientific Reports|July 28, 2023
A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterizationSalvador Tortajada, Francisco Albiol, Luis Caballero, et al.
NMR in Biomedicine|December 15, 2012
Extracting MRS discriminant functional features of brain tumorsElies Fuster-Garcia, Salvador Tortajada, Javier Vicente, et al.
Studies in Health Technology and Informatics|June 24, 2020
Machine Learning-Based Identification of Obesity from Positive and Unlabelled Electronic Health RecordsVicent Blanes-Selva, Salvador Tortajada, Ruth Vilar, et al.
Plos One|August 8, 2019
Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven yearsFrancisco Javier Pérez-Benito, Carlos Sáez, J Alberto Conejero, et al.
Health Informatics Journal|January 13, 2021
Design of 1-year mortality forecast at hospital admission: A machine learning approachVicent Blanes-Selva, Vicente Ruiz-García, Salvador Tortajada, et al.
Journal of Biomedical Informatics|June 13, 2021
Predicting morbidity by local similarities in multi-scale patient trajectoriesLucía A Carrasco-Ribelles, Jose Ramón Pardo-Mas, Salvador Tortajada, et al.
NMR in Biomedicine|September 2, 2008
The effect of combining two echo times in automatic brain tumor classification by MRSJuan M García-Gómez, Salvador Tortajada, César Vidal, et al.
Pageof 2