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Josep Gómez
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2020 – today
- 2024
- [j6]María Bodí, Manuel A. Samper, Gonzalo Sirgo, Federico Esteban, Laura Canadell, Julen Berrueta, Josep Gómez, Alejandro Rodríguez:
Assessing the impact of real-time random safety audits through full propensity score matching on reliable data from the clinical information system. Int. J. Medical Informatics 184: 105352 (2024) - [j5]Manuel Ruiz-Botella, Sara Manrique, Josep Gómez, María Bodí:
Advancing ICU patient care with a Real-Time predictive model for mechanical Power to mitigate VILI. Int. J. Medical Informatics 189: 105511 (2024) - 2021
- [j4]Alexandre Fabregat, Mónica Magret, Josep Anton Ferré, Anton Vernet, Neus Guasch, Alejandro Rodríguez, Josep Gómez, María Bodí:
A Machine Learning decision-making tool for extubation in Intensive Care Unit patients. Comput. Methods Programs Biomed. 200: 105869 (2021) - [j3]María Bodí, Laura Claverias, Federico Esteban, Gonzalo Sirgo, Lluis De Haro, Juan José Guardiola, Rafael Gracía, Alejandro Rodríguez, Josep Gómez:
Automatic generation of minimum dataset and quality indicators from data collected routinely by the clinical information system in an intensive care unit. Int. J. Medical Informatics 145: 104327 (2021) - [j2]David Cuadrado, David Riaño, Josep Gómez, Alejandro Rodríguez, María Bodí:
Methods and measures to quantify ICU patient heterogeneity. J. Biomed. Informatics 117: 103768 (2021)
2010 – 2019
- 2019
- [c2]David Cuadrado, David Riaño, Josep Gómez, María Bodí, Gonzalo Sirgo, Federico Esteban, Rafael García, Alejandro Rodríguez:
Pursuing Optimal Prediction of Discharge Time in ICUs with Machine Learning Methods. AIME 2019: 150-154 - 2018
- [j1]Gonzalo Sirgo, Federico Esteban, Josep Gómez, Gerard Moreno, Alejandro Rodríguez, Lluís Blanch, Juan José Guardiola, Rafael Gracía, Lluis De Haro, María Bodí:
Validation of the ICU-DaMa tool for automatically extracting variables for minimum dataset and quality indicators: The importance of data quality assessment. Int. J. Medical Informatics 112: 166-172 (2018) - 2016
- [b1]Josep Gómez:
Dolphin and whale: development, evaluation and application of novel bioinformatics tools for metabolite profiling in high throughput 1H-NMR analysis. University of Rovira i Virgili, Spain, 2016 - 2015
- [c1]Josep Gómez, Maria Vinaixa, Miguel A. Rodríguez, Reza M. Salek, Xavier Correig, Nicolau Cañellas Alberich:
Dolphin 1D: Improving Automation of Targeted Metabolomics in Multi-matrix Datasets of ^1 1 H-NMR Spectra. PACBB 2015: 59-67
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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