Cristina Soguero-Ruiz

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Associate Professor

Universidad Rey Juan Carlos

Spain

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About

Cristina Soguero-Ruiz is an Associate Professor at Universidad Rey Juan Carlos in Spain. Her research areas focus on data-driven approaches in healthcare, particularly in cardiovascular risk prediction, machine learning applications, and visualization frameworks for decision-making in intensive care settings. Recent articles highlight her contributions to synthetic patient data generation, antimicrobial resistance prediction, and the utilization of electronic health records for chronic condition analysis.

Recent Grants

Grant: Close

Extracción de conocimiento para predicción de la evolución clínica usando análisis de datos

Open Date: 2016-12-01

Close Date: 2020-12-01

Articles (13)

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2024

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2023

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2023

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2020

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2020

Collaborators (10)

Alberto Sanchez

Full Professor

Universidad Rey Juan Carlos

SPAIN

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Maja-Lisa Løchen

Professor in Preventive Medicine

UiT Norges arktiske universitet

NORWAY

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José Luis Rojo-álvarez

Universidad Rey Juan Carlos

SPAIN

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Pilar Talón-Ballestero

Profesor Titular

Universidad Rey Juan Carlos

SPAIN

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Antonio Marques

Professor

Universidad Rey Juan Carlos

SPAIN

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Inger Torhild Gram

Professor Preventive Medicine

UiT The Arctic University of Norway

NORWAY

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Miguel Ángel Muñoz Mohedano

Profesor Ayudante Doctor

Universidad Rey Juan Carlos

SPAIN

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Gustavo Callico

Catedrático de Universidad / Full Professor

Universidad de Las Palmas de Gran Canaria

SPAIN

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INMACULADA MORA JIMENEZ

Full Professor

Universidad Rey Juan Carlos - Campus de Fuenlabrada

SPAIN

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Jose Maria Alonso Moral

Tenured Professor / Profesor Titular de Universidad (TU)

Universidade de Santiago de Compostela

SPAIN

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Cristina Soguero-Ruiz

Research Interests

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About

Recent Grants

Articles (13)

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

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

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

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

Opening the 21st Century Technologies to Industries: On the Special Issue Machine Learning for Society

Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction

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

Learning and visualizing chronic latent representations using electronic health records

Deep Learning to Measure the Intensity of Indocyanine Green in Endometriosis Surgeries with Intestinal Resection

Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital

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

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

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

Collaborators (10)

Alberto Sanchez

Maja-Lisa Løchen

José Luis Rojo-álvarez

Pilar Talón-Ballestero

Antonio Marques

Inger Torhild Gram

Miguel Ángel Muñoz Mohedano

Gustavo Callico

INMACULADA MORA JIMENEZ

Jose Maria Alonso Moral

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