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

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

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 ma...

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Bibliographic Details
Main Authors: Aldo Marzullo, Victor Savevski, Maddalena Menini, Alessandro Schilirò, Gianluca Franchellucci, Arianna Dal Buono, Cristina Bezzio, Roberto Gabbiadini, Cesare Hassan, Alessandro Repici, Alessandro Armuzzi
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Data
Subjects:
data integration
research platform
medical information systems
Online Access:https://www.mdpi.com/2306-5729/10/7/100
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