Cristina Soguero-Ruíz

According to our database1, Cristina Soguero-Ruíz authored at least 71 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

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

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

Sentiment Analysis of Political Tweets From the 2019 Spanish Elections.
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
Visually guided classification trees for analyzing chronic patients.
BMC Bioinform., March, 2020

Informative variable identifier: Expanding interpretability in feature selection.
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

A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs.
CoRR, 2020

On the Statistical and Temporal Dynamics of Sentiment Analysis.
IEEE Access, 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
Noisy multi-label semi-supervised dimensionality reduction.
Pattern Recognit., 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

Event Analysis on Power Communication Networks With Big Data for Maintenance Forms.
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

Using multi-anchors to identify patients suffering from multimorbidities.
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

Towards deep anchor learning.
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

The time series cluster kernel.
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
Kernel covariance series smoothing.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Web Application for Data Exchange and Follow-up in Heart Rate Turbulence.
Proceedings of the Computing in Cardiology, 2015

Data-driven Temporal Prediction of Surgical Site Infection.
Proceedings of the AMIA 2015, 2015

2014
Statistical nonlinear analysis for reliable promotion decision-making.
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
Ontology for Heart Rate Turbulence Domain From The Conceptual Model of SNOMED-CT.
IEEE Trans. Biomed. Eng., 2013

Forecasting socioeconomic trends with cell phone records.
Proceedings of the Annual Symposium on Computing for Development, 2013

Spectral and Nonlinear Analysis in Surgical Ventricular Fibrillation.
Proceedings of the Computing in Cardiology, 2013

Nonlinear Characteristics of Ventricular FibrillationDepend on Myocardial Infarction Locations.
Proceedings of the Computing in Cardiology, 2013

eLab: A Web-based Platform to Perform HRV Analysis and Store Cardiac Signals.
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

Estimation of urban commuting patterns using cellphone network data.
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


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