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Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records.
González Castro, L., Chávez, M., Duflot, P., Bleret, V., G. Martin, A., Zobel, M. et al. (2023). Cancers, 15(10).
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An Overview of Big Data Analytics for Cultural Heritage.
Wallace, M., Poulopoulos, V., Antoniou, A. & López Nores, M. (2023). Big Data and Cognitive Computing, 7(1).
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Digital Technology in Managing Erasmus+ Mobilities: Efficiency Gains and Impact Analysis from Spanish, Italian, and Turkish Universities.
López Nores, M., Pazos Arias, J. J., Gölcü, A. & Kavrar, Ö. (2022). Applied Sciences, 12(19).
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Systematic review of technological aids to social interaction in Autistic Spectrum Disorders from transversal perspectives: psychology, technology and therapy.
Fernando Guerrero, L., López Nores, M., Pazos Arias, J. J., Robles Bykbaev, V. E., Bustamante Cacao, K. C., Jara Quito, H. J. et al. (2022). Journal of Autism and Developmental Disorders, To appear.
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CASIDE: a data model for interoperable cancer survivorship information based on FHIR.
González Castro, L., Cal González, V., Del Friol, G. & López Nores, M. (2021). Journal of Biomedical Informatics, 124.
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