Collecting and Analyzing IBD Clinical Data for Machine-Learning: Insights from an Italian Cohort

Aldo Marzullo (), Victor Savevski, Maddalena Menini, Alessandro Schilirò, Gianluca Franchellucci, Arianna Dal Buono, Cristina Bezzio, Roberto Gabbiadini, Cesare Hassan, Alessandro Repici and Alessandro Armuzzi ()
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Aldo Marzullo: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
Victor Savevski: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
Maddalena Menini: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
Alessandro Schilirò: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
Gianluca Franchellucci: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
Arianna Dal Buono: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
Cristina Bezzio: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
Roberto Gabbiadini: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
Cesare Hassan: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
Alessandro Repici: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
Alessandro Armuzzi: IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy

Data, 2025, vol. 10, issue 7, 1-14

Abstract: Research of Inflammatory Bowel Disease (IBD) involves integrating diverse and heterogeneous data sources, from clinical records to imaging and laboratory results, which presents significant challenges in data harmonization and exploration. These challenges are also reflected in the development of machine-learning applications, where inconsistencies in data quality, missing information, and variability in data formats can adversely affect the performance and generalizability of models. In this study, we describe the collection and curation of a comprehensive dataset focused on IBD. In addition, we present a dedicated research platform. We focus on ethical standards, data protection, and seamless integration of different data types. We also discuss the challenges encountered, as well as the insights gained during its implementation.

Keywords: data integration; research platform; medical information systems (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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