Characterization of Long COVID using text mining on narrative medicine texts. - Ileana Scarpino; Chiara Zucco; Mario Cannataro (BIBM, 2021)

A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts. - Ileana Scarpino; Chiara Zucco; Mario Cannataro (ICCS (2), 2021)

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

Investigating the Sentiment in Italian Long-COVID Narrations. - Maria Chiara Martinis; Ileana Scarpino; Chiara Zucco; Mario Cannataro (ICCS (2), 2023)

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

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)