Machine learning prediction model for treatment responders in patients with primary biliary cholangitis

Machine learning prediction model for treatment responders in patients with primary biliary cholangitis

Abstract Background and Aim Treatment response to ursodeoxycholic acid may predict the prognosis of patients with primary biliary cholangitis (PBC). Recent studies have suggested the benefits of using machine learning (ML) to forecast complex medical predictions. We aimed to predict treatment respon...

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Bibliographic Details
Main Authors: Naruhiro Kimura, Kazuya Takahashi, Toru Setsu, Shu Goto, Suguru Miida, Nobutaka Takeda, Yuichi Kojima, Yoshihisa Arao, Kazunao Hayashi, Norihiro Sakai, Yusuke Watanabe, Hiroyuki Abe, Hiroteru Kamimura, Akira Sakamaki, Takeshi Yokoo, Kenya Kamimura, Atsunori Tsuchiya, Shuji Terai
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:JGH Open
Subjects:
machine learning
primary biliary cholangitis
treatment response
ursodeoxycholic acid
Online Access:https://doi.org/10.1002/jgh3.12915

Internet

https://doi.org/10.1002/jgh3.12915

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