Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients. - Hugo Calero-Díaz; David Chushig-Muzo; Himar Fabelo; Inmaculada Mora-Jiménez; Conceição Granja; Cristina Soguero-Ruíz (BHI, 2022)

Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques. - Hugo Calero-Díaz; David Chushig-Muzo; Cristina Soguero-Ruíz (IDEAL, 2022)

Interpretable and robust hospital readmission predictions from Electronic Health Records. - Hugo Calero-Díaz; Rebeen Ali Hamad; Christian Atallah; John Casement; Dexter Canoy; Nick J. Reynolds; Michael Barnes; Paolo Missier (IEEE Big Data, 2023)

Interpretable Data-Driven Approach Based on Feature Selection Methods and GAN-Based Models for Cardiovascular Risk Prediction in Diabetic Patients. - David Chushig-Muzo; Hugo Calero-Díaz; Francisco J. Lara-Abelenda; Vanesa Gómez-Martínez; Conceição Granja; Cristina Soguero-Ruíz (IEEE Access, 2024)