Cristina Soguero-Ruíz
Orcid: 0000-0001-5817-989X
According to our database1,
Cristina Soguero-Ruíz
authored at least 76 papers
between 2012 and 2024.
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Bibliography
2024
Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients.
CoRR, 2024
LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks.
CoRR, 2024
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series.
CoRR, 2024
Interpretable Data-Driven Approach Based on Feature Selection Methods and GAN-Based Models for Cardiovascular Risk Prediction in Diabetic Patients.
IEEE Access, 2024
Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
2023
A streaming data visualization framework for supporting decision-making in the Intensive Care Unit.
Expert Syst. Appl., October, 2023
Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets.
IEEE J. Biomed. Health Informatics, June, 2023
dtwParallel: A Python package to efficiently compute dynamic time warping between time series.
SoftwareX, May, 2023
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction.
Artif. Intell. Medicine, 2023
Novel Approach for AI-Based Risk Calculator Development Using Transfer Learning Suitable for Embedded Systems.
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023
On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance.
Future Gener. Comput. Syst., 2022
Learning and visualizing chronic latent representations using electronic health records.
BioData Min., 2022
Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2022
Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Domain over size: Clinical ELECTRA surpasses general BERT for bleeding site classification in the free text of electronic health records.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital.
IEEE J. Biomed. Health Informatics, 2021
Time series cluster kernels to exploit informative missingness and incomplete label information.
Pattern Recognit., 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
Interpreting clinical latent representations using autoencoders and probabilistic models.
Artif. Intell. Medicine, 2021
IEEE Access, 2021
Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Mapping Health Trajectories on Self Organizing Maps using COVID-19 Patient's Blood Tests.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
On the Statistical Differences in the Pharmacological Treatment of COVID-19 Patients.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
BMC Bioinform., March, 2020
Pattern Recognit., 2020
Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population.
Medical Biol. Eng. Comput., 2020
CoRR, 2020
Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps.
IEEE Access, 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
Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events.
Medical Biol. Eng. Comput., 2019
Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit.
Entropy, 2019
Entropic Statistical Description of Big Data Quality in Hotel Customer Relationship Management.
Entropy, 2019
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data.
Comput. Math. Methods Medicine, 2019
Towards Organization Management Using Exploratory Screening and Big Data Tests: A Case Study of the Spanish Red Cross.
IEEE Access, 2019
2018
Time series cluster kernel for learning similarities between multivariate time series with missing data.
Pattern Recognit., 2018
Scaled radial axes for interactive visual feature selection: A case study for analyzing chronic conditions.
Expert Syst. Appl., 2018
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples.
CoRR, 2018
IEEE Access, 2018
A Data-Driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients.
Proceedings of the Physiological Computing Systems, 2018
On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Using anchors from free text in electronic health records to diagnose postoperative delirium.
Comput. Methods Programs Biomed., 2017
Clinical Risk Groups Analysis for Chronic Hypertensive Patients in Terms of ICD9-CM Diagnosis Codes.
Proceedings of the 4th International Conference on Physiological Computing Systems (PhyCS 2017), 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing.
Proceedings of the Computing in Cardiology, 2017
L1 Penalized Cox Regression to Characterize Cardiovascular Events in Hypertensive Patients.
Proceedings of the Computing in Cardiology, 2017
2016
Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records.
IEEE J. Biomed. Health Informatics, 2016
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods.
J. Biomed. Informatics, 2016
Autocorrelation Kernel Support Vector Machines for Doppler Ultrasound M-Mode Images Denoising.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
An Approach to New Methods for Digital Processing on Optical Mapping Sequences and Electrical Mapping.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Proceedings of the Computing in Cardiology, 2015
Proceedings of the AMIA 2015, 2015
2014
Digit. Signal Process., 2014
Towards Semantic Interoperability for Cardiovascular Risk Stratification into the Electronic Health Records Using Archetypes and SNOMED-CT.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
IEEE Trans. Biomed. Eng., 2013
Proceedings of the Annual Symposium on Computing for Development, 2013
Proceedings of the Computing in Cardiology, 2013
Nonlinear Characteristics of Ventricular FibrillationDepend on Myocardial Infarction Locations.
Proceedings of the Computing in Cardiology, 2013
Proceedings of the Computing in Cardiology, 2013
2012
On the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications.
Expert Syst. Appl., 2012
On the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison.
Expert Syst. Appl., 2012
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012
Deal Effect Curve and Promotional Models - Using Machine Learning and Bootstrap Resampling Test.
Proceedings of the ICPRAM 2012, 2012