Facultad de Informática
Centro académico
Hospital Universitario de Getafe
Getafe, EspañaPublicaciones en colaboración con investigadores/as de Hospital Universitario de Getafe (25)
2024
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Correction to: Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter study (Surgical Endoscopy, (2024), 38, 5, (2411-2422), 10.1007/s00464-024-10681-6)
Surgical Endoscopy
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Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter study
Surgical Endoscopy
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Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare
BMC Medical Informatics and Decision Making, Vol. 24, Núm. 1
2022
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Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study
JMIR Medical Informatics, Vol. 10, Núm. 8
2020
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A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy
Artificial Intelligence in Medicine, Vol. 102
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Feature selection based multivariate time series forecasting: An application to antibiotic resistance outbreaks prediction
Artificial Intelligence in Medicine, Vol. 104
2019
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A lightweight acquisition of expert rules for interoperable clinical decision support systems
Knowledge-Based Systems, Vol. 167, pp. 98-113
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Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Impact of expert knowledge on the detection of patients at risk of antimicrobial therapy failure by clinical decision support systems
Journal of Biomedical Informatics, Vol. 94
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Improving interpretable prediction models for antimicrobial resistance
Proceedings - IEEE Symposium on Computer-Based Medical Systems
2018
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A decision support system for antibiotic prescription based on local cumulative antibiograms
Journal of Biomedical Informatics, Vol. 84, pp. 114-122
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Impact of time series discretization on intensive care burn unit survival classification
Progress in Artificial Intelligence, Vol. 7, Núm. 1, pp. 41-53
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Investigación en Inteligencia Artificial en Medicina del grupo AIKE de la Universidad de Murcia
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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Metodología basada en agrupamiento y visualizaci ón para el fenotipado de pacientes
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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Risk factors for development of antibiotic resistance of "Enterococcus faecium" to Vancomycin: A subgroup discovery approach: abstract
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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Risk factors for development of antibiotic resistance of enterococcus faecium to vancomycin. A subgroup discovery approach
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017
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A Decision Support Visualization Tool for Infection Management Based on BMPN and DMN
Communications in Computer and Information Science
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A Process-Oriented Approach for Supporting Clinical Decisions for Infection Management
Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017
2016
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A clinical decision support system for an Antimicrobial Stewardship Program
HEALTHINF 2016 - 9th International Conference on Health Informatics, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016
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Clinical decision support using antimicrobial susceptibility test results
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)