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David Chushig-Muzo
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 9
Top Topics
Unsupervised Methods
Health Status
Diabetic Patients
Convolutional Neural Networks
Top Venues
IEEE Access
Artif. Intell. Medicine
CoRR
BioData Min.
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Publications
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Vanesa Gómez-Martínez
,
Francisco J. Lara-Abelenda
,
Pablo Peiro-Corbacho
,
David Chushig-Muzo
,
Conceição Granja
,
Cristina Soguero-Ruíz
LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks.
CoRR
(2024)
David Chushig-Muzo
,
Hugo Calero-Díaz
,
Francisco J. Lara-Abelenda
,
Vanesa Gómez-Martínez
,
Conceição Granja
,
Cristina Soguero-Ruíz
Interpretable Data-Driven Approach Based on Feature Selection Methods and GAN-Based Models for Cardiovascular Risk Prediction in Diabetic Patients.
IEEE Access
12 (2024)
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)
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)
Hugo Calero-Diaz
,
David Chushig-Muzo
,
Cristina Soguero-Ruíz
Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques.
IDEAL
(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)
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)
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)