Non-invasive prediction of non-alcoholic steatohepatitis in Japanese patients with morbid obesity by artificial intelligence using rule extraction technology.

Abstract

Authors

• Daisuke Uehara
  Department of Medicine and Molecular Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
• Yoichi Hayashi
  Department of Computer Science, Meiji University, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan.
• Yosuke Seki
  Weight Loss and Metabolic Surgery Center, Yotsuya Medical Cube, Tokyo 102-0084, Japan.
• Satoru Kakizaki
  Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan. kakizaki@gunma-u.ac.jp.
• Norio Horiguchi
  Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
• Hiroki Tojima
  Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
• Yuichi Yamazaki
  Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
• Ken Sato
  Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
• Kazuki Yasuda
  Department of Metabolic Disorder, Diabetes Research Center, Research Institute, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
• Masanobu Yamada
  Department of Internal Medicine, Division of Endocrinology and Metabolism, Gunma University Graduate School of Medicine, Maebashi, Japan.
• Toshio Uraoka
  Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
• Kazunori Kasama
  Weight Loss and Metabolic Surgery Center, Yotsuya Medical Cube, Tokyo 102-0084, Japan.

Keywords

No keywords available for this article.

External Resources