David Chushig-Muzo
Orcid: 0000-0001-5585-2305
According to our database1,
David Chushig-Muzo
authored at least 9 papers
between 2020 and 2024.
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Bibliography
2024
LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks.
CoRR, 2024
Interpretable Data-Driven Approach Based on Feature Selection Methods and GAN-Based Models for Cardiovascular Risk Prediction in Diabetic Patients.
IEEE Access, 2024
2023
On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
Learning and visualizing chronic latent representations using electronic health records.
BioData Min., 2022
Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2022
Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Interpreting clinical latent representations using autoencoders and probabilistic models.
Artif. Intell. Medicine, 2021
2020
Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps.
IEEE Access, 2020