2026

Conference · 2026 · ER 2026

Conceptual Modeling for Semantically-Guided Feature Selection in Machine Learning: A Case Study on Mohs Micrographic Surgery

Francisco Miralles, Edu Nagore Insa, Salvador Francisco Navarro Aljibe, Ruggero Moro, Eduardo Nagore Enguídanos, Oscar Pastor

A conceptual modeling approach to incorporate clinical domain knowledge into feature selection for Machine Learning models.

  • Feature Selection
  • Machine Learning
  • Mohs Micrographic Surgery
  • Conceptual Modeling

Conference · 2026 · MODELSWARD 2026

A Conceptual Model-Based Platform for Semi-Automatic Report Generation to Streamline Medical Diagnostics of Lung Cancer and PET/CT Data Management

Francisco Miralles Ferrer, José Fabián Reyes Román, Pedro Abreu Sánchez, Jesús Carreño Bolufer, Elisa Verónica Caballero Calabuig, Oscar Pastor

Development of a conceptual model and a model-based software platform to support lung cancer diagnosis through PET/CT data management and semi-automatic generation of structured medical reports.

  • Lung Cancer
  • Computer Systems in Nuclear Medicine
  • Conceptual Modeling