Andres Garcia-Arce, Ph.D.
Published or accepted journal articles
- "A Methaheuristic-Based Stacking Model For Predicting The Risk Of Patient No-Show And Late Cancellation For The Neurology Appointments". Ehsan Ahmadi, Andres Garcia-Arce, Dale T. Masel, Eric Reich, Jason Puckey, Rebecca Maff. IISE Transactions in Healthcare Systems Engineering. 2019. doi: 10.1080/24725579.2019.1649764 [DOWNLOAD]
- “Comparison of machine learning algorithms for the prediction of preventable hospital readmissions”. Andres Garcia-Arce, Florentino Rico, Jose L. Zayas-Castro. Journal for Healthcare Quality (2017). doi: 10.1097/JHQ.0000000000000080 . [DOWNLOAD]
- “Interventions as an alternative to penalties in preventable readmissions”. Andres Garcia-Arce, Jose L. Zayas-Castro. Journal of Hospital Administration. (2015) Volume 4 (3), pp:70-78, 2015. ISSN:1927-6990 / 1927-7008 (online). [DOWNLOAD]
- “A User Assessment to Inform Health Information Exchange Design and Implementation”. Alexandra Strauss, Diego Martinez, Andres Garcia-Arce, Stephanie Taylor, Candice Mateja, Peter Fabri, Jose L. Zayas-Castro. BMC Medical Informatics and Decision Making. (2015). Volume 15 (1), doi:10.1186/s12911-015-0207-x [DOWNLOAD]
- “Innovation Network: Videoconferencing as a Resource in Teaching Support and Autonomous Learning”. Ana Martin-Cuadrado, M. Angeles Lopez-Gonzalez, Andres Garcia-Arce. IEEE Revista Iberoamericana de Tecnologías del Aprendizaje. (2013). ISSN: 1932-8540. [DOWNLOAD]
Peer Reviewed conference proceedings
- “E-learning devices to train high school teachers in IT: A Spanish Experience” [Dispositivos e-learning de Formación de Formadores en TIC: Una experiencia Española]. Andres Garcia-Arce, Ana Martin-Cuadrado, Julio Real Garcia. In Proceedings of Congreso Iberoamericano Educacion y Sociedad. La Serena, Chile. (2011). ISBN: 978-8138-017-0 [DOWNLOAD]
- “FICAeTV: A multimedia platform for the University” [FICAeTC: Plataforma Multimedia Universitaria]. Jaime Bustos, Andres Garcia-Arce, Armin Lüer, Daphne Bormann, Barbara Venegas, Francisco Vidal. In proceedings of Encuentro de Informática y Gestión, Temuco, Chile. (2009). ISSN:1613-0073 [DOWNLOAD]
Working Papers
- “Policy Design to Reduce Preventable Readmissions in the U.S. Medicare Patients”. Andres Garcia-Arce, Jose L. Zayas-Castro. To be submitted to Health Affairs. Fall 2017.
- “United we improve, divided we fail: Stacking machine learning models for the prediction of no-shows in outpatient neurological appointments”. Andres Garcia-Arce, Ronald W. Dravenstott, Rebecca Price, Jason Puckey. To be submitted to Journal of Biomedical Informatics. Fall 2017
- “Improving the forecast of bed demand in a rural hospital: a machine learning approach”. Ronald Dravenstott, Andres Garcia-Arce, Jason Puckey, Priyantha Devapriya. To be submitted to IIE transactions on Health Informatics. Summer 2017.
- “Prediction of preventable hospital readmissions: A validated machine learning approach”. Andres Garcia-Arce, Jose L. Zayas-Castro. To be submitted to Journal for Healthcare Quality. Fall 2017.