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David Chushig-Muzo
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Data-driven visual characterization of patient health-status using electronic health records and self-organizing maps
D Chushig-Muzo, C Soguero-Ruiz, AP Engelbrecht, PDM Bohoyo, ...
IEEE Access 8, 137019-137031, 2020
222020
Interpreting clinical latent representations using autoencoders and probabilistic models
D Chushig-Muzo, C Soguero-Ruiz, P de Miguel-Bohoyo, I Mora-Jiménez
Artificial Intelligence in Medicine 122, 102211, 2021
82021
Evaluation of synthetic categorical data generation techniques for predicting cardiovascular diseases and post-hoc interpretability of the risk factors
C García-Vicente, D Chushig-Muzo, I Mora-Jiménez, H Fabelo, IT Gram, ...
Applied Sciences 13 (7), 4119, 2023
72023
Clinical synthetic data generation to predict and identify risk factors for cardiovascular diseases
C García-Vicente, D Chushig-Muzo, I Mora-Jiménez, H Fabelo, IT Gram, ...
VLDB Workshop on Data Management and Analytics for Medicine and Healthcare …, 2022
62022
Learning and visualizing chronic latent representations using electronic health records
D Chushig-Muzo, C Soguero-Ruiz, P Miguel Bohoyo, I Mora-Jiménez
BioData Mining 15 (1), 18, 2022
42022
On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients.
MT Jurado-Camino, D Chushig-Muzo, C Soguero-Ruiz, ...
HEALTHINF, 167-178, 2023
32023
Modeling At School–On the Benefits and Skill Development of the Use of Modeling Diagrams at School
J Moreno-León, C Chushig, G Robles
2022 IEEE Global Engineering Education Conference (EDUCON), 451-457, 2022
32022
Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients
H Calero-Diaz, D Chushig-Muzo, H Fabelo, I Mora-Jiménez, C Granja, ...
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022
22022
A multimodal and interpretable-based approach for improving melanoma detection using dermoscopy images
V Gómez-Martínez, D Chushig-Muzo, MB Veierød, C Granja, ...
2023
Modelos basados en redes neuronales artificiales para la generación y predicción de series temporales de glucosa
R González-Domínguez, D Chushig-Muzo, C Soguero-Ruiz
Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB) 2023 …, 2023
2023
Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques
H Calero-Díaz, D Chushig-Muzo, C Soguero-Ruiz
International Conference on Intelligent Data Engineering and Automated …, 2022
2022
Unsupervised Learning Methods to Extract ClinicalKnowledge of Patients with Chronic Diseases
CD Chushig Muzo
Universidad Rey Juan Carlos, 2022
2022
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Articles 1–12