Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit. - Sergio Martínez-Agüero; Inmaculada Mora-Jiménez; Jon Lérida-García; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (Entropy, 2019)

Predicting Clinical Deterioration in Hospitals. - Laleh Jalali; Hsiu-Khuern Tang; Richard H. Goldstein; Joaquín Álvarez-Rodríguez (IEEE BigData, 2020)

Temporal Feature Selection for Characterizing Antimicrobial Multidrug Resistance in the Intensive Care Unit. - Óscar Escudero-Arnanz; Inmaculada Mora-Jiménez; Sergio Martínez-Agüero; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (AAI4H@ECAI, 2020)

Modelling Temporal Relationships in Pseudomonas Aeruginosa Antimicrobial Resistance Prediction in Intensive Care Unit. - Álvar Hernández-Carnerero; Miquel Sànchez-Marrè; Inmaculada Mora-Jiménez; Cristina Soguero-Ruíz; Sergio Martínez-Agüero; Joaquín Álvarez-Rodríguez (AAI4H@ECAI, 2020)

Aplying LSTM Networks to Predict Multi-drug Resistance Using Binary Multivariate Clinical Sequences. - Sergio Martínez-Agüero; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Antonio Garcia Marques; Cristina Soguero-Ruíz (STAIRS@ECAI, 2020)

Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods. - Lidia Pascual-Sánchez; Inmaculada Mora-Jiménez; Sergio Martínez-Agüero; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (BIBM, 2021)

On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. - Óscar Escudero-Arnanz; Joaquín Álvarez-Rodríguez; Karl Øyvind Mikalsen; Robert Jenssen; Cristina Soguero-Ruíz (CoRR, 2021)

Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models. - Álvar Hernández-Carnerero; Miquel Sànchez-Marrè; Inmaculada Mora-Jiménez; Cristina Soguero-Ruíz; Sergio Martínez-Agüero; Joaquín Álvarez-Rodríguez (Int. J. Interact. Multim. Artif. Intell., 2021)

Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital. - Sergio Martínez-Agüero; Antonio G. Marques; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (IEEE J. Biomed. Health Informatics, 2021)

Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance. - Sergio Martínez-Agüero; Cristina Soguero-Ruíz; Jose Maria Alonso-Moral; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Antonio G. Marques (Future Gener. Comput. Syst., 2022)

Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction. - Álvar Hernández-Carnerero; Miquel Sànchez-Marrè; Inmaculada Mora-Jiménez; Cristina Soguero-Ruíz; Sergio Martínez-Agüero; Joaquín Álvarez-Rodríguez (Artif. Intell. Medicine, 2023)

A streaming data visualization framework for supporting decision-making in the Intensive Care Unit. - Miguel A. Mohedano-Munoz; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Manuel Rubio-Sánchez; Joaquín Álvarez-Rodríguez; Alberto Sánchez 001 (Expert Syst. Appl., 2023)

Irregular Temporal Classification of Multidrug Resistance Development in Intensive Care Unit Patients. - Paula Martín-Palomeque; Óscar Escudero-Arnanz; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (BIBM, 2024)

Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series. - Sergio Martínez-Agüero; Antonio G. Marques; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (CoRR, 2024)

Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients. - Óscar Escudero-Arnanz; Cristina Soguero-Ruíz; Joaquín Álvarez-Rodríguez; Antonio G. Marques (CoRR, 2024)

Early detection of Multidrug Resistance using Multivariate Time Series analysis and interpretable patient-similarity representations. - Óscar Escudero-Arnanz; Antonio G. Marques; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (Comput. Methods Programs Biomed., 2025)

Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series. - Óscar Escudero-Arnanz; Sergio Martínez-Agüero; Paula Martín-Palomeque; Antonio G. Marques; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Cristina Soguero-Ruíz (Health Inf. Sci. Syst., 2025)