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ORCIDJoaquín Álvarez-Rodríguez
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2020 – today
- 2024
[i4]Sergio Martínez-Agüero, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz:
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series. CoRR abs/2402.06295 (2024)- [i3]Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Joaquín Álvarez-Rodríguez, Antonio G. Marques:
Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients. CoRR abs/2407.17165 (2024) - 2023
- [j6]Álvar Hernández-Carnerero
, Miquel Sànchez-Marrè, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez:
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction. Artif. Intell. Medicine 138: 102508 (2023) - [j5]Miguel A. Mohedano-Munoz, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Manuel Rubio-Sánchez, Joaquín Álvarez-Rodríguez, Alberto Sánchez:
A streaming data visualization framework for supporting decision-making in the Intensive Care Unit. Expert Syst. Appl. 227: 120252 (2023) - 2022
- [j4]Sergio Martínez-Agüero, Cristina Soguero-Ruíz, Jose Maria Alonso-Moral, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Antonio G. Marques:
Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance. Future Gener. Comput. Syst. 133: 68-83 (2022) - 2021
- [j3]Álvar Hernández-Carnerero, Miquel Sànchez-Marrè, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez:
Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models. Int. J. Interact. Multim. Artif. Intell. 6(5): 119-133 (2021) - [j2]Sergio Martínez-Agüero, Antonio G. Marques, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz:
Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital. IEEE J. Biomed. Health Informatics 25(12): 4340-4353 (2021) - [c5]Lidia Pascual-Sánchez, Inmaculada Mora-Jiménez, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz:
Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods. BIBM 2021: 2826-2833 - [i2]Laleh Jalali, Hsiu-Khuern Tang, Richard H. Goldstein, Joaquín Álvarez-Rodríguez:
Predicting Clinical Deterioration in Hospitals. CoRR abs/2102.05856 (2021) - [i1]Óscar Escudero-Arnanz, Joaquín Álvarez-Rodríguez, Karl Øyvind Mikalsen, Robert Jenssen, Cristina Soguero-Ruíz:
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. CoRR abs/2107.10398 (2021) - 2020
- [c4]Laleh Jalali, Hsiu-Khuern Tang, Richard H. Goldstein, Joaquín Álvarez-Rodríguez:
Predicting Clinical Deterioration in Hospitals. IEEE BigData 2020: 3744-3752 - [c3]Óscar Escudero-Arnanz, Inmaculada Mora-Jiménez, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz:
Temporal Feature Selection for Characterizing Antimicrobial Multidrug Resistance in the Intensive Care Unit. AAI4H@ECAI 2020: 54-59 - [c2]Álvar Hernández-Carnerero, Miquel Sànchez-Marrè, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez:
Modelling Temporal Relationships in Pseudomonas Aeruginosa Antimicrobial Resistance Prediction in Intensive Care Unit. AAI4H@ECAI 2020: 60-67 - [c1]Sergio Martínez-Agüero, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Antonio Garcia Marques, Cristina Soguero-Ruíz:
Aplying LSTM Networks to Predict Multi-drug Resistance Using Binary Multivariate Clinical Sequences. STAIRS@ECAI 2020
2010 – 2019
- 2019
- [j1]Sergio Martínez-Agüero, Inmaculada Mora-Jiménez, Jon Lérida-García, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz:
Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit. Entropy 21(6): 603 (2019)
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