An Analysis of the Time Aggregation Influence on Patients Forecasting in Emergency Services. - Hugo Álvarez-Chaves; David F. Barrero; Helena Hernández Martínez; M. Isabel Pascual Benito (CLEI, 2021)

Patients Forecasting in Emergency Services by Using Machine Learning and Exogenous Variables. - Hugo Álvarez-Chaves; David F. Barrero; Mario Cobos; María Dolores Rodríguez-Moreno (SGAI Conf., 2021)

Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital. - Hugo Álvarez-Chaves; Pablo Muñoz 002; María D. R.-Moreno (J. Intell. Inf. Syst., 2023)

Improving ED admissions forecasting by using generative AI: An approach based on DGAN. - Hugo Álvarez-Chaves; Marco Spruit; María D. R.-Moreno (Comput. Methods Programs Biomed., 2024)

Evaluating the impact of exogenous variables for patients forecasting in an Emergency Department using Attention Neural Networks. - Hugo Álvarez-Chaves; Iván Maseda-Zurdo; Pablo Muñoz 002; María D. R.-Moreno (Expert Syst. Appl., 2024)

Interpretable statistical modeling of patient flow in emergency departments. - Hugo Álvarez-Chaves; María D. R.-Moreno (J. Biomed. Informatics, 2025)