C. Soguero-Ruíz

发表

Using big data from Customer Relationship Management information systems to determine the client profile in the hotel sector

J. Rojo-álvarez, Pilar Talón-Ballestero, Lydia González-Serrano, 2018, Tourism Management.

Analysis of free text in electronic health records for identification of cancer patient trajectories

M. Girolami, C. Soguero-Ruíz, R. Lindsetmo, 2017, Scientific Reports.

On the Differential Analysis of Enterprise Valuation Methods as a Guideline for Unlisted Companies Assessment (I): Empowering Discounted Cash Flow Valuation

J. Rojo-álvarez, C. Soguero-Ruíz, Germania Vayas-Ortega, 2020 .

Time series cluster kernels to exploit informative missingness and incomplete label information pdf

Robert Jenssen, Filippo Maria Bianchi, Arthur Revhaug, 2019, Pattern Recognit..

Prediction of Healthcare Associated Infections in an Intensive Care Unit Using Machine Learning and Big Data Tools

J. Rojo-álvarez, C. Soguero-Ruíz, Paz Revuelta-Zamorano, 2016 .

Visually guided classification trees for analyzing chronic patients

Pablo de Miguel-Bohoyo, Miguel A. Mohedano-Munoz, I. Mora-Jiménez, 2020, BMC Bioinformatics.

An approach to new methods for digital signal processing on optical mapping sequences and electrical mapping

José Luis Rojo-Álvarez, Margarita Sanromán-Junquera, I. Mora-Jiménez, 2016, 2016 Computing in Cardiology Conference (CinC).

Learning and visualizing chronic latent representations using electronic health records

Pablo de Miguel-Bohoyo, I. Mora-Jiménez, C. Soguero-Ruíz, 2021, BioData Mining.

Mapping Health Trajectories on Self Organizing Maps using COVID-19 Patient’s Blood Tests

I. Mora-Jiménez, C. Soguero-Ruíz, Carlos Arias-Alcaide, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients

C. Granja, I. Mora-Jiménez, C. Soguero-Ruíz, 2022, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Domain over size: Clinical ELECTRA surpasses general BERT for bleeding site classification in the free text of electronic health records

T. R. Savarimuthu, C. Soguero-Ruíz, P. Vinholt, 2022, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps

I. Mora-Jiménez, C. Soguero-Ruíz, Carlos Arias-Alcaide, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Interpreting clinical latent representations using autoencoders and probabilistic models

I. Mora-Jiménez, Cristina Soguero-Ruíz, David Chushig-Muzo, 2021, Artif. Intell. Medicine.

Machine learning approaches to constructing predictive models of vitamin D deficiency in a hypertensive population: a comparative study

I. Mora-Jiménez, C. Soguero-Ruíz, Ó. Barquero-Pérez, 2021, Informatics for health & social care.

On the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications

José Luis Rojo-Álvarez, I. Mora-Jiménez, María Pilar Martínez-Ruiz, 2012, Expert Syst. Appl..

Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit

I. Mora-Jiménez, Cristina Soguero-Ruíz, Sergio Martínez-Agüero, 2019, Entropy.

An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples pdf

Robert Jenssen, Filippo Maria Bianchi, Arthur Revhaug, 2018, ArXiv.

Noisy multi-label semi-supervised dimensionality reduction

Robert Jenssen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, 2019, Pattern Recognit..

Artificial Intelligence to Get Insights of Multi-Drug Resistance Risk Factors during the First 48 Hours from ICU Admission

I. Mora-Jiménez, C. Soguero-Ruíz, J. Álvarez-Rodríguez, 2021, Antibiotics.

A Big Data Approach to Customer Relationship Management Strategy in Hospitality Using Multiple Correspondence Domain Description

J. Rojo-álvarez, Pilar Talón-Ballestero, Lydia González-Serrano, 2020, Applied Sciences.

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data

Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic, 2019, Comput. Math. Methods Medicine.

Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps

Cristina Soguero-Ruiz, David Chushig-Muzo, A. P. Engelbrecht, 2020, IEEE Access.

Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events

Oscar Barquero-Perez, Rebeca Goya-Esteban, Cristina Soguero-Ruiz, 2019, Medical & Biological Engineering & Computing.

Visually guided classification trees for analyzing chronic patients

Pablo de Miguel-Bohoyo, Miguel A. Mohedano-Munoz, I. Mora-Jiménez, 2020, BMC Bioinformatics.

On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients

I. Mora-Jiménez, Javier Ramos-López, Cristina Soguero-Ruíz, 2018, IWBBIO.

Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges

C. Granja, C. Soguero-Ruíz, G. Callicó, 2022, Journal of medical Internet research.

An Interoperable System toward Cardiac Risk Stratification from ECG Monitoring

Arcadi García-Alberola, José Luis Rojo-Álvarez, Javier Ramos-López, 2018, International journal of environmental research and public health.

Web application for data exchange and follow-up in Heart Rate Turbulence

José Luis Rojo-Álvarez, I. Mora-Jiménez, Arcadio García-Alberola, 2015, 2015 Computing in Cardiology Conference (CinC).

Towards semantic interoperability for Cardiovascular Risk Stratification into the electronic health records using archetypes and SNOMED-CT

José Luis Rojo-Álvarez, I. Mora-Jiménez, Arcadio García-Alberola, 2014, Computing in Cardiology 2014.

eLab: A web-based platform to perform HRV and HRT analysis and store cardiac signals

I. Gonzalez, A. Garcia-Alberola, O. Barquero-Perez, 2013, Computing in Cardiology 2013.

Ontology for Heart Rate Turbulence Domain From The Conceptual Model of SNOMED-CT

José Luis Rojo-Álvarez, I. Mora-Jiménez, Arcadio García-Alberola, 2013, IEEE Transactions on Biomedical Engineering.

Ontology for Heart Rate Turbulence domain applying the conceptual model of SNOMED-CT

A. Garcia-Alberola, O. Barquero-Perez, C. Soguero-Ruiz, 2012, 2012 Computing in Cardiology.

Forecasting socioeconomic trends with cell phone records

Vanessa Frías-Martínez, Enrique Frías-Martínez, Cristina Soguero-Ruíz, 2013, ACM DEV '13.

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

José Luis Rojo-Álvarez, Robert Jenssen, Stein Olav Skrøvseth, 2016, J. Biomed. Informatics.

Using anchors from free text in electronic health records to diagnose postoperative delirium

Robert Jenssen, Stein Olav Skrøvseth, Fred Godtliebsen, 2017, Comput. Methods Programs Biomed..

Sentiment Analysis of Political Tweets From the 2019 Spanish Elections

José Luis Rojo-Álvarez, Cristina Soguero-Ruiz, Margarita Rodríguez-Ibáñez, 2021, IEEE Access.

Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction

M. Sànchez-Marrè, C. Soguero-Ruíz, J. Álvarez-Rodríguez, 2023, Artif. Intell. Medicine.

Using multi-anchors to identify patients suffering from multimorbidities

Robert Jenssen, I. Mora-Jiménez, Cristina Soguero-Ruíz, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records

José Luis Rojo-Álvarez, Robert Jenssen, Stein Olav Skrøvseth, 2016, IEEE Journal of Biomedical and Health Informatics.

Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods

I. Mora-Jiménez, Cristina Soguero-Ruíz, Sergio Martínez-Agüero, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs pdf

Robert Jenssen, Karl Oyvind Mikalsen, Cristina Soguero-Ruiz, 2020, Explainable AI in Healthcare and Medicine.

The time series cluster kernel

Robert Jenssen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data pdf

Robert Jenssen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, 2017, Pattern Recognit..

Informative variable identifier: Expanding interpretability in feature selection

José Luis Rojo-Álvarez, I. Mora-Jiménez, Sergio Muñoz-Romero, 2020, Pattern Recognit..

Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance

I. Mora-Jiménez, C. Soguero-Ruíz, J. Álvarez-Rodríguez, 2022, Future Gener. Comput. Syst..

Statistical nonlinear analysis for reliable promotion decision-making

José Luis Rojo-Álvarez, I. Mora-Jiménez, María Pilar Martínez-Ruiz, 2014, Digit. Signal Process..

On the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison

José Luis Rojo-Álvarez, I. Mora-Jiménez, María Pilar Martínez-Ruiz, 2012, Expert Syst. Appl..

Deal Effect Curve and Promotional Models - Using Machine Learning and Bootstrap Resampling Test

José Luis Rojo-Álvarez, I. Mora-Jiménez, María Pilar Martínez-Ruiz, 2012, ICPRAM.

On the Differential Analysis of Enterprise Valuation Methods as a Guideline for Unlisted Companies Assessment (II): Applying Machine-Learning Techniques for Unbiased Enterprise Value Assessment

Cristina Soguero-Ruiz, Francisco-Javier Gimeno-Blanes, Margarita Rodríguez-Ibáñez, 2020, Applied Sciences.

Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population

I. Mora-Jiménez, C. Soguero-Ruíz, Ó. Barquero-Pérez, 2020, Medical & Biological Engineering & Computing.

Cardiovascular risk assessment in prediabetic patients in a hypertensive population: The role of cystatin C.

I. Mora-Jiménez, C. Soguero-Ruíz, Ó. Barquero-Pérez, 2018, Diabetes & metabolic syndrome.

Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models

Miquel Sànchez-Marrè, I. Mora-Jiménez, Cristina Soguero-Ruíz, 2021, Int. J. Interact. Multim. Artif. Intell..

Scaled radial axes for interactive visual feature selection: A case study for analyzing chronic conditions

Alberto Sánchez, I. Mora-Jiménez, Cristina Soguero-Ruíz, 2018, Expert Syst. Appl..

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets

C. Soguero-Ruíz, G. Callicó, A. Wägner, 2022, IEEE Journal of Biomedical and Health Informatics.

Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors

I. Gram, C. Granja, I. Mora-Jiménez, 2023, Applied Sciences.

Estimation of urban commuting patterns using cellphone network data

Vanessa Frías-Martínez, Enrique Frías-Martínez, Cristina Soguero-Ruíz, 2012, UrbComp '12.

Cystatin C as a predictor of cardiovascular outcomes in a hypertensive population

I. Mora-Jiménez, C. Soguero-Ruíz, Ó. Barquero-Pérez, 2017, Journal of Human Hypertension.

A Data-Driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients

I. Mora-Jiménez, Cristina Soguero-Ruíz, Pablo de Miguel-Bohoyo, 2016, PhyCS.

On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit pdf

Robert Jenssen, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, 2021, ArXiv.

Prevalencia y características clínicas de la esteatohepatitis no alcohólica en una población con hipertensión arterial esencial

I. Mora-Jiménez, C. Soguero-Ruíz, Ó. Barquero-Pérez, 2019, Hipertensión y Riesgo Vascular.

Spectral and nonlinear analysis of surgical ventricular fibrillation

José Luis Rojo-Álvarez, Arcadio García-Alberola, Óscar Barquero-Pérez, 2013, Computing in Cardiology 2013.

Nonlinear characteristics of ventricular fibrillation depend on myocardial infarction locations

José Luis Rojo-Álvarez, Arcadio García-Alberola, Óscar Barquero-Pérez, 2013, Computing in Cardiology 2013.

L1 penalized Cox regression to characterize cardiovascular events in hypertensive patients

Rebeca Goya-Esteban, Antonio G. Marques, I. Mora-Jiménez, 2017, 2017 Computing in Cardiology (CinC).

Using anchors from free text in electronic health records to diagnose postoperative delirium

Karl Øyvind Mikalsen, F. Godtliebsen, R. Jenssen, 2017, Comput. Methods Programs Biomed..

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

F. Godtliebsen, R. Jenssen, J. Rojo-álvarez, 2016, J. Biomed. Informatics.

Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks

Michael Kampffmeyer, Robert Jenssen, Filippo Maria Bianchi, 2017, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Ontology for Heart Rate Turbulence domain applying the conceptual model of SNOMED-CT

I. Mora-Jiménez, C. Soguero-Ruíz, A. García-Alberola, 2012, 2012 Computing in Cardiology.

A streaming data visualization framework for supporting decision-making in the Intensive Care Unit

Miguel A. Mohedano-Munoz, I. Mora-Jiménez, C. Soguero-Ruíz, 2023, Expert Syst. Appl..

Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population

Oscar Barquero-Perez, Cristina Soguero-Ruiz, Inmaculada Mora-Jimenez, 2020, Medical & Biological Engineering & Computing.

Interpretable Data-Driven Approach Based on Feature Selection Methods and GAN-Based Models for Cardiovascular Risk Prediction in Diabetic Patients

C. Granja, C. Soguero-Ruíz, David Chushig-Muzo, 2024, IEEE Access.

Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage

José Luis Rojo-Álvarez, Robert Jenssen, Stein Olav Skrøvseth, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks

C. Granja, C. Soguero-Ruíz, David Chushig-Muzo, 2024, ArXiv.