Mining patient data from heterogeneous sources for decision making on administration of non invasive mechanical ventilation in intensive care units. - María N. Moreno García; Félix Martín González; Javier González Robledo; Fernando Sánchez Hernández (FUSION, 2014)

Machine Learning Methods for Mortality Prediction of Polytraumatized Patients in Intensive Care Units - Dealing with Imbalanced and High-Dimensional Data. - María N. Moreno García; Javier González Robledo; Félix Martín González; Fernando Sánchez Hernández; Mercedes Sánchez Barba (IDEAL, 2014)

Random Forest Based Ensemble Classifiers for Predicting Healthcare-Associated Infections in Intensive Care Units. - María N. Moreno García; Juan Carlos Ballesteros Herráez; Mercedes Sánchez Barba; Fernando Sánchez Hernández (DCAI, 2016)

Multiclassifier Systems for Predicting Neurological Outcome of Patients with Severe Trauma and Polytrauma in Intensive Care Units. - Javier González Robledo; Félix Martín González; Mercedes Sánchez Barba; Fernando Sánchez Hernández; María N. Moreno García (J. Medical Syst., 2017)

Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach. - Fernando Sánchez Hernández; Juan Carlos Ballesteros Herráez; Mohamed S. Kraiem; Mercedes Sánchez Barba; María N. Moreno García (CoRR, 2020)

Selecting the suitable resampling strategy for imbalanced data classification regarding dataset properties. - Mohamed S. Kraiem; Fernando Sánchez Hernández; María N. Moreno García (CoRR, 2022)

Comparing fixed-array and functionally-defined channel of interest approaches to infant functional near-infrared spectroscopy data. - Yiyu Liu; Fernando Sánchez Hernández; Fransisca Ting; Daniel C. Hyde (NeuroImage, 2022)