PathWays

Publications

• Martinez-Millana, A. Lizondo, R. Gatta, S. Vera, V. T. Salcedo, and C. Fernandez-Llatas, Process Mining Dashboard in Operating Rooms: Analysis of Staff Expectations with Analytic Hierarchy Process, International Journal of Environmental Research and Public Health, vol. 16, no. 2, p. 199, Jan. 2019.
• Fernandez-Llatas, G. Ibanez-Sanchez, A. Celda, J. Mandingorra, L. Aparici-Tortajada, A. Martinez-Millana, J. Munoz-Gama, M. Sepúlveda, E. Rojas, V. Gálvez, D. Capurro, and V. Traver, Analyzing Medical Emergency Processes with Process Mining: The Stroke Case, in Business Process Management Workshops, Cham, 2019, pp. 214–225.
• Dogan, J.-L. Bayo-Monton, C. Fernandez-Llatas, and B. Oztaysi, Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application, Sensors, vol. 19, no. 3, 2019.
• Conca, C. Saint-Pierre, V. Herskovic, M. Sepúlveda, D. Capurro, F. Prieto, and C. Fernandez-Llatas, Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining, Journal of medical Internet research, vol. 20, no. 4, 2018.
• Fernandez-Llatas, E. Montón, J. Rovira, S. Vera, and V. Traver, Mineria de procesos interactiva: Aproximando el Big Data a la practica clinica, I+ S: informática y salud, no. 124, pp. 44–50, 2017.
• Rojas, C. Fernández-Llatas, V. Traver, J. Munoz-Gama, M. Sepúlveda, V. Herskovic, and D. Capurro, PALIA-ER: Bringing Question-Driven Process Mining Closer to the Emergency Room, in 15th International Conference on Business Process Management (BPM 2017), 2017.
• Gatta, J. Lenkowicz, M. Vallati, E. Rojas, A. Damiani, L. Sacchi, B. De Bari, A. Dagliati, C. Fernandez-Llatas, M. Montesi, and others, pMineR: An Innovative R Library for Performing Process Mining in Medicine, in Proceedings of the Conference on Artificial Intelligence in Medicine (AIME 2017), Springer, 2017.
• Rojas, M. Sepúlveda, J. Munoz-Gama, D. Capurro, V. Traver, and C. Fernandez-Llatas, Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining, Applied Sciences, vol. 7, no. 3, p. 302, 2017.
• Fernandez-Llatas, J. L. Bayo, A. Martinez-Romero, J. M. Benedi, and V. Traver, Interactive Pattern Recognition in Cardiovascular Diseases Management. A Process Mining Approach, in Proceedings of the IEEE International Conference on Biomedical and Health Informatics 2016, las Vegas, EEUU, 2016.
• Fernandez-Llatas, A. Lizondo, E. Monton, J.-M. Benedi, and V. Traver, Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems, Sensors, vol. 15, no. 12, pp. 29821–29840, Nov. 2015.
• Fernandez-Llatas, B. Valdivieso, V. Traver, and J. M. Benedi, Using Process Mining for Automatic Support of Clinical Pathways Design, in Data Mining in Clinical Medicine, no. 1246, C. Fernández-Llatas and J. M. García-Gómez, Eds. Springer New York, 2015, pp. 79–88.
• Fernandez-Llatas, A. Martinez-Millana, A. Martinez-Romero, J. M. Benedi, and V. Traver, Diabetes care related process modelling using Process Miningtechniques. Lessons learned in the application of InteractivePattern Recognition: coping with the Spaghetti Effect, in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, pp. 2127–2130.
• Fernandez-Llatas, L. Sacchi, J. M. Benedí, A. Dagliati, V. Traver, and R. Bellazzi, Temporal Abstractions to Enrich Activity-Based Process Mining Corpus with Clinical Time Series, in Proceedings of the International conference on Biomedical and HealthInformatics (BHI2014), 2014.
• Fernández-Llatas, J.-M. Benedi, J. M. García-Gómez, and V. Traver, Process Mining for Individualized Behavior Modeling Using Wireless Tracking in Nursing Homes, Sensors, vol. 13, no. 11, pp. 15434–15451, 2013.
• Fernández-Llatas, T. Meneu, V. Traver, and J.-M. Benedi, Applying Evidence-Based Medicine in Telehealth: An Interactive Pattern Recognition Approximation, International Journal of Environmental Research and Public Health, vol. 10, no. 11, pp. 5671–5682, 2013.