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

Author

Listed:
  • Aldo Marzullo

    (IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
    These authors contributed equally to this work.)

  • Victor Savevski

    (IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
    These authors contributed equally to this work.)

  • Maddalena Menini

    (IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
    These authors contributed equally to this work.)

  • 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
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy)

  • Arianna Dal Buono

    (IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy)

  • Cristina Bezzio

    (IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 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
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy)

  • Alessandro Repici

    (IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy)

  • Alessandro Armuzzi

    (IRCCS Humanitas Research Hospital-Via Manzoni 56, Rozzano, 20089 Milan, Italy
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy)

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.

Suggested Citation

  • Aldo Marzullo & Victor Savevski & Maddalena Menini & Alessandro Schilirò & Gianluca Franchellucci & Arianna Dal Buono & Cristina Bezzio & Roberto Gabbiadini & Cesare Hassan & Alessandro Repici & Aless, 2025. "Collecting and Analyzing IBD Clinical Data for Machine-Learning: Insights from an Italian Cohort," Data, MDPI, vol. 10(7), pages 1-14, June.
    • Handle: RePEc:gam:jdataj:v:10:y:2025:i:7:p:100-:d:1686307
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