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Inflammatory Bowel Diseases

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Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning.

Inflammatory bowel diseases
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic disease characterized by unpredictable episodes of flares and periods of remission. Tools that accurately predict disease course would substantially aid therapeutic decision-making. This study...

Machine Learning-Based Gene Prioritization Identifies Novel Candidate Risk Genes for Inflammatory Bowel Disease.

Inflammatory bowel diseases
BACKGROUND: The inflammatory bowel diseases (IBDs) are chronic inflammatory disorders, associated with genetic, immunologic, and environmental factors. Although hundreds of genes are implicated in IBD etiology, it is likely that additional genes play...

Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines.

Journal of Crohn's & colitis
BACKGROUND AND AIMS: Big data analytics leverage patterns in data to harvest valuable information, but are rarely implemented in clinical care. Optimising thiopurine therapy for inflammatory bowel disease [IBD] has proved difficult. Current methods u...

S100A4 Protein in Inflammatory Bowel Disease: Results of a Single Centre Prospective Study.

Acta medica (Hradec Kralove)
INTRODUCTION: The aim of our study was to assess association of serum S100A4 protein with ulcerative colitis (UC) and Crohn's disease (CD).