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Chushig Muzo, Cristian David david.chushig@urjc.es

Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación / Universidad Rey Juan Carlos

Actividades

Personalized glucose forecasting for people with type 1 diabetes using large language models

  • Lara-Abelenda, Francisco J
  • Chushig-Muzo, David
  • Peiro-Corbacho, Pablo
  • Wagner, Ana M
  • Granja, Conceicao
  • Soguero-Ruiz, Cristina

Computer Methods And Programs In Biomedicine - 1/6/2025

10.1016/j.cmpb.2025.108737 Ver en origen

  • ISSN 01692607

Transfer learning for a tabular-to-image approach: A case study for cardiovascular disease prediction

  • Lara-Abelenda, Francisco J
  • Chushig-Muzo, David
  • Peiro-Corbacho, Pablo
  • Gomez-Martinez, Vanesa
  • Wagner, Ana M
  • Granja, Conceicao
  • Soguero-Ruiz, Cristina
... Ver más Contraer

Journal Of Biomedical Informatics - 1/5/2025

10.1016/j.jbi.2025.104821 Ver en origen

  • ISSN 15320464

Interpretable and multimodal fusion methodology to predict severe in adults with 1 diabetes

  • Lara-Abelenda, Francisco J
  • Chushig-Muzo, David
  • Wagner, Ana M
  • Tayefi, Maryam
  • Soguero-Ruiz, Cristina

Engineering Applications Of Artificial Intelligence - 15/3/2025

10.1016/j.engappai.2025.110142 Ver en origen

  • ISSN 09521976

Evaluating Time Series Classification Models for Nocturnal Hypoglycemia: From Predictive Performance to Environmental Impact

  • Lara-Abelenda, Francisco J
  • Chushig-Muzo, David
  • Acosta, Carmelo Betancort
  • Wagner, Ana M
  • Granja, Conceicao
  • Soguero-Ruiz, Cristina

Ieee Access (p. 150756-150771) - 1/1/2025

10.1109/access.2025.3600917 Ver en origen

  • ISSN 21693536

Characterizing the Impact of Physical Activity on Patients with Type 1 Diabetes Using Statistical and Machine Learning Models

  • Chushig-Muzo, D
  • Calero-Díaz, H
  • Fabelo, H
  • Arsand, E
  • van Dijk, PR
  • Soguero-Ruiz, C

Applied Sciences-Basel - 1/11/2024

10.3390/app14219870 Ver en origen

  • ISSN 20763417

Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability

  • Gómez-Martínez, V
  • Chushig-Muzo, D
  • Veierod, MB
  • Granja, C
  • Soguero-Ruiz, C

Biodata Mining - 30/10/2024

10.1186/s13040-024-00397-7 Ver en origen

  • ISSN 17560381

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

  • Chushig-Muzo, D
  • Calero-Díaz, H
  • Lara-Abelenda, FJ
  • Gómez-Martínez, V
  • Granja, C
  • Soguero-Ruiz, C

Ieee Access (p. 84292-84305) - 1/1/2024

10.1109/access.2024.3412789 Ver en origen

  • ISSN 21693536

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

  • Garcia-Vicente, Clara
  • Chushig-Muzo, David
  • Mora-Jimenez, Inmaculada
  • Fabelo, Himar
  • Gram, Inger Torhild
  • Lochen, Maja-Lisa
  • Granja, Conceicao
  • Soguero-Ruiz, Cristina
... Ver más Contraer

Applied Sciences-Basel - 1/4/2023

10.3390/app13074119 Ver en origen

  • ISSN 20763417

Learning and visualizing chronic latent representations using electronic health records

  • Chushig-Muzo, D
  • Soguero-Ruiz, C
  • Bohoyo, PD
  • Mora-Jiménez, I

Biodata Mining - 5/9/2022

10.1186/s13040-022-00303-z Ver en origen

  • ISSN 17560381

Interpreting clinical latent representations using autoencoders and probabilistic models

  • Chushig-Muzo, D
  • Soguero-Ruiz, C
  • de Miguel-Bohoyo, P
  • Mora-Jiménez, I

Artificial Intelligence In Medicine - 1/12/2021

10.1016/j.artmed.2021.102211 Ver en origen

  • ISSN 09333657

Este/a investigador/a no tiene libros.

Este/a investigador/a no tiene capítulos de libro.

Modeling At School - On the Benefits and Skill Development of the Use of Modeling Diagrams at School

  • Moreno-León, J
  • Chushig, C
  • Robles, G

Ieee Global Engineering Education Conference, Educon (p. 451-457) - 1/1/2022

10.1109/educon52537.2022.9766646 Ver en origen

  • ISSN 21659567

Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques

  • Calero-Díaz, H
  • Chushig-Muzo, D
  • Soguero-Ruiz, C

Lecture Notes In Computer Science (p. 22-30) - 1/1/2022

10.1007/978-3-031-21753-1_3 Ver en origen

  • ISSN 03029743

Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases

  • García-Vicente, C
  • Chushig-Muzo, D
  • Mora-Jiménez, I
  • Fabelo, H
  • Gram, IT
  • Lochen, ML
  • Granja, C
  • Soguero-Ruiz, C
... Ver más Contraer

Lecture Notes In Computer Science (p. 75-91) - 1/1/2022

10.1007/978-3-031-23905-2_6 Ver en origen

  • ISSN 03029743

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

  • Calero-Diaz, H
  • Chushig-Muzo, D
  • Fabelo, H
  • Mora-Jiménez, I
  • Granja, C
  • Soguero-Ruiz, C

2022 Ieee-Embs International Conference On Biomedical And Health Informatics (Bhi) Jointly Organised With The Ieee-Embs International Conference On Wearable And Implantable Body Sensor Networks (Bsn'22) - 1/1/2022

10.1109/bhi56158.2022.9926871 Ver en origen

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Intelligent decision support systems to predict chronic and critical patient health trajectories using cutting-edge visual analytics and data-driven techniques.

  • Mikalsen, Karl Oyvind (Investigador/a)
  • Álvarez Rodríguez, Joaquín (Investigador/a)
  • CABALLERO LÓPEZ-FANDO, ISABEL (Investigador/a)
  • LEHMANN, DIRK JOACHIM (Investigador/a)
  • HERNANDEZ PEREZ, BERNARD ANGEL (Investigador/a)
  • Erdely, Arturo (Investigador/a)
  • Gómez Delgado, Ángel (Investigador/a)
  • Martino, Luca (Investigador/a)
  • Chushig Muzo, Cristian David (Investigador/a)
  • Rubio Sánchez, Manuel (Investigador principal (IP))
  • Barreiro García, Pablo Miguel (Investigador/a)
  • Soguero Ruíz, Cristina (Investigador principal (IP))
  • Rey Escudero, Samuel (Investigador/a)
  • San Román Montero, Jesús María (Investigador/a)
  • Mora Jiménez, Inmaculada (Investigador/a)
  • Santos Álvarez, Paloma (Investigador/a)
  • Caballero López-Fando, María Isabel (Investigador/a)
  • Sicilia, Rosa (Investigador/a)
  • JENSSEN, ROBERT (Investigador/a)
  • Soda, Paolo (Investigador/a)
  • De Miguel Bohoyo, Pablo (Investigador/a)
  • Sanchez Marre, Miquel (Investigador/a)
... Ver más Contraer

Ejecución: 01-01-2024 - 31-12-2024

  • iMarina

Explainable artificial intelligence models for predicting clinical events in chronic diseases using heterogeneous data

  • Soguero Ruíz, Cristina (Codirector)
  • Chushig Muzo, Cristian David (Director) Doctorando: FRANCISCO JESUS LARA ABELENDA

21/7/2025

  • iMarina

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 24/09/25 3:24