Accessing to electronic medical history using a mobility intra hospital system. - Sergio Guillén; Vicente Traver 001; Eduardo Monton Sanchez; Elena Castellano; Bernardo Valdivieso; Manuel Regana Valero (EMBC, 2011)

Heart Cycle: Facilitating the deployment of advanced care processes. - Teresa Meneu; Vicente Traver 001; Sergio Guillén; Bernardo Valdivieso; José-Miguel Benedí; Carlos Fernández-Llatas (EMBC, 2013)

Development and evaluation of an Innovative Chronic Disease Management Program in Valencia-La Fe Health Department. - Bernardo Valdivieso; Raquel Faubel; Javier Gonzalez-Cappa; Pablo Borras-Justus; David Dominguez (BHI, 2014)

Interactive Data Cleaning for Process Mining: A Case Study of an Outpatient Clinic's Appointment System. - Niels Martin; Antonio Martinez-Millana; Bernardo Valdivieso; Carlos Fernández-Llatas (Business Process Management Workshops, 2019)

Comparing Data Base Engines for Building Big Data Analytics in Obesity Detection. - Carlos Martinez-Millana; Antonio Martinez-Millana; Carlos Fernández-Llatas; Bernardo Valdivieso Martinez; Vicente Traver Salcedo 001 (CBMS, 2019)

Design of one-year mortality forecast at hospital admission based: a machine learning approach. - Vicent Blanes-Selva; Vicente Ruiz-García; Salvador Tortajada; José-Miguel Benedí; Bernardo Valdivieso; Juan Miguel García-Gómez (CoRR, 2019)

Machine Learning-Based Identification of Obesity from Positive and Unlabelled Electronic Health Records. - Vicent Blanes-Selva; Salvador Tortajada; Ruth Vilar; Bernardo Valdivieso; Juan M. García-Gómez (MIE, 2020)

Dynamic Models Supporting Personalised Chronic Disease Management through Healthcare Sensors with Interactive Process Mining. - Zoe Valero-Ramon; Carlos Fernández-Llatas; Bernardo Valdivieso; Vicente Traver 001 (Sensors, 2020)

Design of 1-year mortality forecast at hospital admission: A machine learning approach. - Vicent Blanes-Selva; Vicente Ruiz-García; Salvador Tortajada; José-Miguel Benedí; Bernardo Valdivieso; Juan M. García-Gómez (Health Informatics J., 2021)

Predicting morbidity by local similarities in multi-scale patient trajectories. - Lucia A. Carrasco-Ribelles; Jose Ramón Pardo-Mas; Salvador Tortajada; Carlos Sáez; Bernardo Valdivieso; Juan M. García-Gómez (J. Biomed. Informatics, 2021)