Explainable artificial intelligence for prediction of refractory ulcerative colitis: analysis of a Japanese Nationwide Registry.

Journal: Annals of medicine
PMID: 40323686

Abstract

OBJECTIVE: Ulcerative colitis (UC) is a chronic inflammatory bowel disease for which remission is dependent on corticosteroid (CS) treatment. The diversity of disease pathophysiology necessitates optimal case-specific treatment selection. This study aimed to identify prognostic factors for refractory UC using a machine learning model based on nationwide registry data.

Authors

  • Masaya Sano
    Department of Gastroenterology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
  • Yasuhiro Kanatani
    Department of Clinical Pharmacology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
  • Takashi Ueda
    Department of Gastroenterology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
  • Shota Nemoto
    Industrial & Digital Business Unit, Hitachi Ltd, Chiyoda-ku, Tokyo, Japan.
  • Yurin Miyake
    Department of Clinical Pharmacology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
  • Naoko Tomita
    Department of Clinical Pharmacology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
  • Hidekazu Suzuki
    Department of Gastroenterology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.

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