A Framework for Patient Data Management and Analysis in Randomised Clinical Trials. - Pietro Hiram Guzzi; Tiziana Larussa; Rosarina Vallelunga; Ludovico Abenavoli; Giuseppe Tradigo; Francesco Luzza; Pierangelo Veltri (BIBM, 2020)

Machine Learning Approaches in Inflammatory Bowel Disease. - Ileana Scarpino; Rosarina Vallelunga; Francesco Luzza; Mario Cannataro (ICCS (1), 2022)

Named Entity Recognition to Extract Knowledge from Clinical Texts. - Ileana Scarpino; Rosarina Vallelunga; Francesco Luzza (NUMTA (3), 2023)

The r'-Wave Algorithm: A New Diagnostic Tool to Predict the Diagnosis of Brugada Syndrome after a Sodium Channel Blocker Provocation Test. - Giampaolo Vetta; Antonio Parlavecchio; Lorenzo Pistelli; Paolo Desalvo; Armando Lo Savio; Michele Magnocavallo; Rodolfo Caminiti; Anna Tribuzio; Alessandro Vairo; Diego La Maestra; Francesco Vetta; Giuseppe Dattilo; et al. (Sensors, 2023)

Visualization of Comorbidities in Inflammatory Bowel Diseases through Networks. - Rosarina Vallelunga; Marianna Milano; Rocco Spagnuolo; Lidia Giubilei; Evelina Suraci; Mario Cannataro; Francesco Luzza (BIBM, 2024)

Applications of Text Mining techniques to extract meaningful information from gastroenterology medical reports. - Rosarina Vallelunga; Ileana Scarpino; Maria Chiara Martinis; Francesco Luzza; Chiara Zucco (J. Comput. Sci., 2024)