Cristina Soguero-Ruíz

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 63

Top Topics

Feature Selection

Dimensionality Reduction

Electronic Health Records

Top Venues

Publications

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 (2024)
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 (2023)
María Teresa Jurado-Camino, David Chushig-Muzo, Cristina Soguero-Ruíz, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez
On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients. HEALTHINF (2023)
Antonio J. Rodríguez-Almeida, Himar Fabelo, Samuel Ortega, Alejandro Deniz, Francisco Javier Balea-Fernández, Eduardo Quevedo, Cristina Soguero-Ruíz, Ana M. Wägner, Gustavo Marrero Callicó
Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets. IEEE J. Biomed. Health Informatics 27 (6) (2023)
Óscar Escudero-Arnanz, Antonio G. Marques, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Gregorio Robles
dtwParallel: A Python package to efficiently compute dynamic time warping between time series. SoftwareX 22 (2023)
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 (2023)
David Chushig-Muzo, Cristina Soguero-Ruíz, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez
Learning and visualizing chronic latent representations using electronic health records. BioData Min. 15 (1) (2022)
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 (2022)
Hugo Calero-Diaz, David Chushig-Muzo, Cristina Soguero-Ruíz
Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques. IDEAL (2022)
Carlos Arias-Alcaide, Cristina Soguero-Ruíz, Paloma Santos-Alvarez, José Felipe Varona Arche, Inmaculada Mora-Jiménez
Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps. BIBM (2022)
Clara García-Vicente, David Chushig-Muzo, Inmaculada Mora-Jiménez, Himar Fabelo, Inger Torhild Gram, Maja-Lisa Løchen, Conceição Granja, Cristina Soguero-Ruíz
Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases. Poly/DMAH@VLDB (2022)
Hugo Calero-Diaz, David Chushig-Muzo, Himar Fabelo, Inmaculada Mora-Jiménez, Conceição Granja, Cristina Soguero-Ruíz
Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients. BHI (2022)
Jannik S. Pedersen, Martin S. Laursen, Cristina Soguero-Ruíz, Thiusius R. Savarimuthu, Rasmus Søgaard Hansen, Pernille J. Vinholt
Domain over size: Clinical ELECTRA surpasses general BERT for bleeding site classification in the free text of electronic health records. BHI (2022)
Margarita Rodríguez-Ibáñez, Francisco Javier Gimeno-Blanes, Pedro Manuel Cuenca-Jiménez, Cristina Soguero-Ruíz, José Luis Rojo-Álvarez
Sentiment Analysis of Political Tweets From the 2019 Spanish Elections. IEEE Access 9 (2021)
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) (2021)
Óscar Escudero-Arnanz, Joaquín Rodríguez-Álvarez, 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 (2021)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
Time series cluster kernels to exploit informative missingness and incomplete label information. Pattern Recognit. 115 (2021)
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) (2021)
Carlos Arias-Alcaide, Cristina Soguero-Ruíz, Paloma Santos-Alvarez, Adrián García-Romero, Inmaculada Mora-Jiménez
Mapping Health Trajectories on Self Organizing Maps using COVID-19 Patient's Blood Tests. BIBM (2021)
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)
David Chushig-Muzo, Cristina Soguero-Ruíz, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez
Interpreting clinical latent representations using autoencoders and probabilistic models. Artif. Intell. Medicine 122 (2021)
Weam Moumouh-Ait Layachi, María Sevilla-García, Adrián García-Romero, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez
On the Statistical Differences in the Pharmacological Treatment of COVID-19 Patients. BHI (2021)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Robert Jenssen
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. CoRR (2020)
David Chushig-Muzo, Cristina Soguero-Ruíz, Andries P. Engelbrecht, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez
Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps. IEEE Access 8 (2020)
Rafael García-Carretero, Luis Vigil-Medina, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Óscar Barquero-Pérez, Javier Ramos-López
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. 58 (5) (2020)
Sergio Muñoz-Romero, Arantza Gorostiaga, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, José Luis Rojo-Álvarez
Informative variable identifier: Expanding interpretability in feature selection. Pattern Recognit. 98 (2020)
Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Miguel A. Mohedano-Munoz, Manuel Rubio-Sánchez, Pablo de Miguel-Bohoyo, Alberto Sánchez
Visually guided classification trees for analyzing chronic patients. BMC Bioinform. (2) (2020)
Cristina Soguero-Ruíz, Natalia Alonso-Arteaga, Sergio Muñoz-Romero, José Luis Rojo-Álvarez, Manuel Rubio-Sánchez, Isabel Caballero López-Fajardo, Inmaculada Mora-Jiménez
Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis. BIBM (2020)
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)
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)
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)
Margarita Rodríguez-Ibáñez, Francisco Javier Gimeno-Blanes, Pedro Manuel Cuenca-Jiménez, Sergio Muñoz-Romero, Cristina Soguero-Ruíz, José Luis Rojo-Álvarez
On the Statistical and Temporal Dynamics of Sentiment Analysis. IEEE Access 8 (2020)
Primoz Kocbek, Nino Fijacko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uros Maver, Petra Povalej Brzan, Andraz Stozer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic
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 (2019)
Margarita Rodríguez-Ibáñez, Sergio Muñoz-Romero, Cristina Soguero-Ruíz, Francisco Javier Gimeno-Blanes, José Luis Rojo-Álvarez
Towards Organization Management Using Exploratory Screening and Big Data Tests: A Case Study of the Spanish Red Cross. IEEE Access 7 (2019)
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) (2019)
Lydia González-Serrano, Pilar Talón-Ballestero, Sergio Muñoz-Romero, Cristina Soguero-Ruíz, José Luis Rojo-Álvarez
Entropic Statistical Description of Big Data Quality in Hotel Customer Relationship Management. Entropy 21 (4) (2019)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
Noisy multi-label semi-supervised dimensionality reduction. Pattern Recognit. 90 (2019)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
Time series cluster kernels to exploit informative missingness and incomplete label information. CoRR (2019)
Rafael García-Carretero, Óscar Barquero-Pérez, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Rebeca Goya-Esteban, Javier Ramos
Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events. Medical Biol. Eng. Comput. 57 (9) (2019)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
Noisy multi-label semi-supervised dimensionality reduction. CoRR (2019)
Juan Ramón Feijoo-Martínez, Sergio Muñoz-Romero, Cristina Soguero-Ruíz, Mario Castro-Fernandez, José Luis Rojo-Álvarez
Event Analysis on Power Communication Networks With Big Data for Maintenance Forms. IEEE Access 6 (2018)
Alberto Sánchez, Cristina Soguero-Ruíz, I. Mora-Jiménez, Francisco Javier Rivas-Flores, Dirk J. Lehmann, Manuel Rubio-Sánchez
Scaled radial axes for interactive visual feature selection: A case study for analyzing chronic conditions. Expert Syst. Appl. 100 (2018)
Mads A. Hansen, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
Towards deep anchor learning. BHI (2018)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples. CoRR (2018)
Cristina Soguero-Ruíz, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez
A Data-Driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients. PhyCS (Selected Papers) (2018)
Cristina Soguero-Ruíz, Ana Alberca Díaz-Plaza, Pablo de Miguel-Bohoyo, Javier Ramos-López, Manuel Rubio-Sánchez, Alberto Sánchez, Inmaculada Mora-Jiménez
On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients. IWBBIO (2) (2018)
Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
Time series cluster kernel for learning similarities between multivariate time series with missing data. Pattern Recognit. 76 (2018)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Isabel Caballero Lopez Fando, Robert Jenssen
Using multi-anchors to identify patients suffering from multimorbidities. BIBM (2018)
Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. BHI (2018)
Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. CoRR (2017)
Antonio G. Marques, Cristina Soguero-Ruíz, Javier Ramos, Inmaculada Mora-Jiménez, Rebeca Goya-Esteban, Rafael García-Carretero, Óscar Barquero-Pérez
Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing. CinC (2017)
Javier Fernández-Sánchez, Cristina Soguero-Ruíz, Pablo de Miguel-Bohoyo, Francisco Javier Rivas-Flores, Ángel Gómez-Delgado, Francisco Javier Gutiérrez-Expósito, Inmaculada Mora-Jiménez
Clinical Risk Groups Analysis for Chronic Hypertensive Patients in Terms of ICD9-CM Diagnosis Codes. PhyCS (2017)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Kasper Jensen, Kristian Hindberg, Mads Gran, Arthur Revhaug, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth, Fred Godtliebsen, Robert Jenssen
Using anchors from free text in electronic health records to diagnose postoperative delirium. Comput. Methods Programs Biomed. 152 (2017)
Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data. CoRR (2017)
Rafael García-Carretero, Óscar Barquero-Pérez, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Rebeca Goya-Esteban, Antonio G. Marques, Javier Ramos
L1 Penalized Cox Regression to Characterize Cardiovascular Events in Hypertensive Patients. CinC (2017)
Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
The time series cluster kernel. MLSP (2017)
Cristina Soguero-Ruíz, Kristian Hindberg, Inmaculada Mora-Jiménez, José Luis Rojo-Álvarez, Stein Olav Skrøvseth, Fred Godtliebsen, Kim Mortensen, Arthur Revhaug, Rolv-Ole Lindsetmo, Knut Magne Augestad, Robert Jenssen
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. J. Biomed. Informatics 61 (2016)
Sergio Muñoz-Romero, Margarita Sanromán-Junquera, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Raúl Caulier-Cisterna, Javier Moreno-Planas, Jorge García-Quintanilla, Arcadi García-Alberola, José Luis Rojo-Álvarez
An Approach to New Methods for Digital Processing on Optical Mapping Sequences and Electrical Mapping. CinC (2016)
Cristina Soguero-Ruíz, Kristian Hindberg, José Luis Rojo-Álvarez, Stein Olav Skrøvseth, Fred Godtliebsen, Kim Mortensen, Arthur Revhaug, Rolv-Ole Lindsetmo, Knut Magne Augestad, Robert Jenssen
Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records. IEEE J. Biomed. Health Informatics 20 (5) (2016)
Cristina Soguero-Ruíz, Alicia Guerrero-Curieses, Francisco Javier Palancar, Javier Bermejo, José Carlos Antoranz, José Luis Rojo-Álvarez
Autocorrelation Kernel Support Vector Machines for Doppler Ultrasound M-Mode Images Denoising. CinC (2016)
Cristina Soguero-Ruíz, Fei Wang, Robert Jenssen, Knut Magne Augestad, José Luis Rojo-Álvarez, Inmaculada Mora-Jiménez, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth
Data-driven Temporal Prediction of Surgical Site Infection. AMIA (2015)
Cristina Soguero-Ruíz, Robert Jenssen
Kernel covariance series smoothing. MLSP (2015)
Cristina Soguero-Ruíz, Alfonso Sánchez-Caro, Inmaculada Mora-Jiménez, Luis Lechuga-Suárez, Arcadi García-Alberola, José Luis Rojo-Álvarez
Web Application for Data Exchange and Follow-up in Heart Rate Turbulence. CinC (2015)
Alfonso Sánchez-Caro, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Luis Lechuga-Suárez, Javier Ramos-López, Arcadio García-Alberola, Pablo Serrano-Balazote, José Luis Rojo-Álvarez
Towards Semantic Interoperability for Cardiovascular Risk Stratification into the Electronic Health Records Using Archetypes and SNOMED-CT. CinC (2014)
Cristina Soguero-Ruíz, Francisco Javier Gimeno-Blanes, Inmaculada Mora-Jiménez, María Pilar Martínez-Ruiz, José Luis Rojo-Álvarez
Statistical nonlinear analysis for reliable promotion decision-making. Digit. Signal Process. 33 (2014)
Cristina Soguero-Ruíz, Kristian Hindberg, José Luis Rojo-Álvarez, Stein Olav Skrøvseth, Fred Godtliebsen, Kim Mortensen, Arthur Revhaug, Rolv-Ole Lindsetmo, Inmaculada Mora-Jiménez, Knut Magne Augestad, Robert Jenssen
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. BHI (2014)
Francisco Javier Pulido-Hidalgo, Óscar Barquero-Pérez, Cristina Soguero-Ruíz, José Luis Rojo-Álvarez, Juan José Sánchez-Muñoz, Arcadi García-Alberola
Spectral and Nonlinear Analysis in Surgical Ventricular Fibrillation. CinC (2013)
María González-González, Óscar Barquero-Pérez, Cristina Soguero-Ruíz, Juan José Sánchez-Muñoz, José Luis Rojo-Álvarez, Arcadi García-Alberola
Nonlinear Characteristics of Ventricular FibrillationDepend on Myocardial Infarction Locations. CinC (2013)
Óscar Barquero-Pérez, Teresa Quintanilla, José García-Muñoz, Cristina Soguero-Ruíz, Mark Richard Wilby, Manuel de la Rosa, Miguel Cabañas, Iván González, Roberto Bravo, Arcadi García-Alberola, José Luis Rojo-Álvarez
eLab: A Web-based Platform to Perform HRV Analysis and Store Cardiac Signals. CinC (2013)
Cristina Soguero-Ruíz, Luis Lechuga-Suárez, Inmaculada Mora-Jiménez, Javier Ramos-López, Óscar Barquero-Pérez, Arcadi García-Alberola, José Luis Rojo-Álvarez
Ontology for Heart Rate Turbulence Domain From The Conceptual Model of SNOMED-CT. IEEE Trans. Biomed. Eng. 60 (7) (2013)
Vanessa Frías-Martínez, Cristina Soguero-Ruíz, Enrique Frías-Martínez, Malvina Josephidou
Forecasting socioeconomic trends with cell phone records. ACM DEV (3) (2013)
Cristina Soguero-Ruíz, Francisco Javier Gimeno-Blanes, Inmaculada Mora-Jiménez, María Pilar Martínez-Ruiz, José Luis Rojo-Álvarez
Deal Effect Curve and Promotional Models - Using Machine Learning and Bootstrap Resampling Test. ICPRAM (2) (2012)
Vanessa Frías-Martínez, Cristina Soguero-Ruíz, Enrique Frías-Martínez
Estimation of urban commuting patterns using cellphone network data. UrbComp@KDD (2012)
Cristina Soguero-Ruíz, Francisco Javier Gimeno-Blanes, Inmaculada Mora-Jiménez, María Pilar Martínez-Ruiz, José Luis Rojo-Álvarez
On the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison. Expert Syst. Appl. 39 (17) (2012)
Cristina Soguero-Ruíz, Francisco Javier Gimeno-Blanes, Inmaculada Mora-Jiménez, María Pilar Martínez-Ruiz, José Luis Rojo-Álvarez
On the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications. Expert Syst. Appl. 39 (17) (2012)