Joaquín Álvarez-Rodríguez

20 papers Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explainable Temporal Inference for Irregular Multivariate Time Series. A Case Study for Early Prediction of Multidrug Resistance.
IEEE Trans. Biomed. Eng.
Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Joaquín Álvarez-Rodríguez, Antonio G. Marques
2025 J jnl
Early Detection of Multidrug Resistance Using Multivariate Time Series Analysis and Interpretable Patient-Similarity Representations.
CoRR
Óscar Escudero-Arnanz, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2025 J jnl
Early detection of Multidrug Resistance using Multivariate Time Series analysis and interpretable patient-similarity representations.
Comput. Methods Programs Biomed.
Óscar Escudero-Arnanz, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2025 J jnl
Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series.
Health Inf. Sci. Syst.
Óscar Escudero-Arnanz, Sergio Martínez-Agüero, Paula Martín-Palomeque, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2024 J jnl
Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients.
CoRR
Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Joaquín Álvarez-Rodríguez, Antonio G. Marques
2024 — conf
Irregular Temporal Classification of Multidrug Resistance Development in Intensive Care Unit Patients.
BIBM
Paula Martín-Palomeque, Óscar Escudero-Arnanz, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2024 J jnl
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series.
CoRR
Sergio Martínez-Agüero, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2023 J jnl
A streaming data visualization framework for supporting decision-making in the Intensive Care Unit.
Expert Syst. Appl.
Miguel A. Mohedano-Munoz, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Manuel Rubio-Sánchez, Joaquín Álvarez-Rodríguez, Alberto Sánchez
2023 J jnl
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction.
Artif. Intell. Medicine
Álvar Hernández-Carnerero, Miquel Sànchez-Marrè, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez
2022 J jnl
Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance.
Future Gener. Comput. Syst.
Sergio Martínez-Agüero, Cristina Soguero-Ruíz, Jose Maria Alonso-Moral, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Antonio G. Marques
2021 J jnl
Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models.
Int. J. Interact. Multim. Artif. Intell.
Álvar Hernández-Carnerero, Miquel Sànchez-Marrè, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez
2021 J jnl
Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital.
IEEE J. Biomed. Health Informatics
Sergio Martínez-Agüero, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2021 J jnl
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit.
CoRR
Óscar Escudero-Arnanz, Joaquín Álvarez-Rodríguez, Karl Øyvind Mikalsen, Robert Jenssen, Cristina Soguero-Ruíz
2021 J jnl
Predicting Clinical Deterioration in Hospitals.
CoRR
Laleh Jalali, Hsiu-Khuern Tang, Richard H. Goldstein, Joaquín Álvarez-Rodríguez
2021 — conf
Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods.
BIBM
Lidia Pascual-Sánchez, Inmaculada Mora-Jiménez, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2020 — conf
Aplying LSTM Networks to Predict Multi-drug Resistance Using Binary Multivariate Clinical Sequences.
STAIRS@ECAI
Sergio Martínez-Agüero, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Antonio Garcia Marques, Cristina Soguero-Ruíz
2020 — conf
Modelling Temporal Relationships in Pseudomonas Aeruginosa Antimicrobial Resistance Prediction in Intensive Care Unit.
AAI4H@ECAI
Álvar Hernández-Carnerero, Miquel Sànchez-Marrè, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez
2020 — conf
Predicting Clinical Deterioration in Hospitals.
IEEE BigData
Laleh Jalali, Hsiu-Khuern Tang, Richard H. Goldstein, Joaquín Álvarez-Rodríguez
2020 — conf
Temporal Feature Selection for Characterizing Antimicrobial Multidrug Resistance in the Intensive Care Unit.
AAI4H@ECAI
Óscar Escudero-Arnanz, Inmaculada Mora-Jiménez, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz
2019 J jnl
Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit.
Entropy
Sergio Martínez-Agüero, Inmaculada Mora-Jiménez, Jon Lérida-García, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz