Copyright
©The Author(s) 2018.
World J Hepatol. Dec 27, 2018; 10(12): 934-943
Published online Dec 27, 2018. doi: 10.4254/wjh.v10.i12.934
Published online Dec 27, 2018. doi: 10.4254/wjh.v10.i12.934
Figure 2 Predictive accuracy of the new developed JOMO algorithm in Japanese morbidly obese patients.
NASH: Non-alcoholic steatohepatitis; ALT: Alanine aminotransferase; CRP: C-reactive protein; Alb: Albumin; HOMA-IR: Homeostasis model assessment insulin resistance.
- Citation: Uehara D, Hayashi Y, Seki Y, Kakizaki S, Horiguchi N, Tojima H, Yamazaki Y, Sato K, Yasuda K, Yamada M, Uraoka T, Kasama K. Non-invasive prediction of non-alcoholic steatohepatitis in Japanese patients with morbid obesity by artificial intelligence using rule extraction technology. World J Hepatol 2018; 10(12): 934-943
- URL: https://www.wjgnet.com/1948-5182/full/v10/i12/934.htm
- DOI: https://dx.doi.org/10.4254/wjh.v10.i12.934