Prognostic Precision for Crohn's Disease Patients through Machine Learning Predictive Models. - Julio Barzola-Monteses; Rosangela Caicedo-Quiroz; Mayken Espinoza-Andaluz; Elena Bajaña-Díaz; Rogelio Loja-Yagual; Franklin Parrales Bravo (SCCC, 2023)

Convolutional Neural Networks Applied to the Diagnosis of Cardiovascular Disease. - Julio Barzola-Monteses; Rosangela Caicedo-Quiroz; Franklin Parrales-Bravo; Cristhian Medina-Suarez; Wendy Yanez-Pazmino (SCCC, 2024)

CSM: A Chatbot Solution to Manage Student Questions About Payments and Enrollment in University. - Franklin Parrales Bravo; Rosangela Caicedo-Quiroz; Julio Barzola-Monteses; José Guillén-Mirabá; Otto Guzmán-Bedor (IEEE Access, 2024)

FRUIT: Fuzzy Representation of Unbounded and Imprecise Terms in Non-Functional Requirements. - Franklin Parrales-Bravo; Rosangela Caicedo-Quiroz; Julio Barzola-Monteses; Leonel Vasquez-Cevallos (IEEE Access, 2024)

From Descriptive to Prescriptive Analytics on Time Series of the Number of Preeclampsia Inpatient Beds. - Franklin Parrales-Bravo; Víctor Gómez-Rodríguez; Julio Barzola-Monteses; Rosangela Caicedo-Quiroz; Elena Tolozano-Benites; Leonel Vasquez-Cevallos (IEEE Access, 2024)

ACME: A Classification Model for Explaining the Risk of Preeclampsia Based on Bayesian Network Classifiers and a Non-Redundant Feature Selection Approach. - Franklin Parrales-Bravo; Rosangela Caicedo-Quiroz; Elianne Rodríguez-Larraburu; Julio Barzola-Monteses (Informatics, 2024)

Current Situation of Serious Games to Support Ecuadorian Health. - Franklin Parrales-Bravo; Wilber Ortiz-Aguilar; Lorenzo J. Cevallos-Torres; Julio Barzola-Monteses; Rosangela Caicedo-Quiroz (CBMS, 2025)

STOP: Studying Time-Series of Preeclamptic Emergencies. - Franklin Parrales-Bravo; Rosangela Caicedo-Quiroz; Elena Tolozano-Benites; Leonel Vasquez-Cevallos; Lorenzo J. Cevallos-Torres (IEEE Access, 2025)