Joaquín Álvarez-Rodríguez
Orcid: 0000-0002-2308-7239
According to our database1,
Joaquín Álvarez-Rodríguez
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series.
CoRR, 2024
2023
A streaming data visualization framework for supporting decision-making in the Intensive Care Unit.
Expert Syst. Appl., October, 2023
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction.
Artif. Intell. Medicine, 2023
2022
Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance.
Future Gener. Comput. Syst., 2022
2021
Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital.
IEEE J. Biomed. Health Informatics, 2021
Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models.
Int. J. Interact. Multim. Artif. Intell., 2021
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit.
CoRR, 2021
Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Aplying LSTM Networks to Predict Multi-drug Resistance Using Binary Multivariate Clinical Sequences.
Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
Modelling Temporal Relationships in Pseudomonas Aeruginosa Antimicrobial Resistance Prediction in Intensive Care Unit.
Proceedings of the First International AAI4H, 2020
Temporal Feature Selection for Characterizing Antimicrobial Multidrug Resistance in the Intensive Care Unit.
Proceedings of the First International AAI4H, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit.
Entropy, 2019