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 | 22 | 2020 |
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 | 8 | 2021 |
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 | 7 | 2023 |
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 | 6 | 2022 |
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 | 4 | 2022 |
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 | 3 | 2023 |
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 | 3 | 2022 |
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 | 2 | 2022 |
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 |