MINERÍA DE DATOS
MIDA
Hospital Universitario de Salamanca
Salamanca, EspañaHospital Universitario de Salamanca -ko ikertzaileekin lankidetzan egindako argitalpenak (8)
2019
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Predictive modeling of ICU healthcare-associated infections from imbalanced data. Using ensembles and a clustering-based undersampling approach
Applied Sciences (Switzerland), Vol. 9, Núm. 24
2017
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Multiclassifier Systems for Predicting Neurological Outcome of Patients with Severe Trauma and Polytrauma in Intensive Care Units
Journal of Medical Systems, Vol. 41, Núm. 9
2016
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Efectividad y predictores de fracaso de la ventilación mecánica no invasiva en la insuficiencia respiratoria aguda
Medicina Intensiva, Vol. 40, Núm. 1, pp. 9-17
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Random forest based ensemble classifiers for predicting healthcare-associated infections in intensive care units
Advances in Intelligent Systems and Computing
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Reply to prediction of Non-invasive mechanical ventilation response: Moving from art to science
Methods of Information in Medicine
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Success/failure prediction of noninvasive mechanical ventilation in intensive care units: Using multiclassifiers and feature selection methods
Methods of Information in Medicine, Vol. 55, Núm. 3, pp. 234-241
2014
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Machine learning methods for mortality prediction of polytraumatized patients in intensive care units - Dealing with imbalanced and high-dimensional data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Mining patient data from heterogeneous sources for decision making on administration of non invasive mechanical ventilation in intensive care units
FUSION 2014 - 17th International Conference on Information Fusion