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...
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: | |
Online Access: | https://doi.org/10.1002/jgh3.12915 |
Similar Items
-
Novel Insights of Primary Sclerosing Cholangitis and Primary Biliary Cholangitis
by: Dong-Won Ahn
Published: (2020-05-01) -
Evaluation of the United Kingdom‐primary biliary cholangitis and global primary biliary cholangitis group prognostic models for primary biliary cholangitis patients treated with ursodeoxycholic acid in the U.S. population
by: Mohammad Alomari, et al.
Published: (2020-04-01) -
Cumulative risk of developing a new symptom in patients with primary biliary cholangitis and its impact on prognosis
by: Naruhiro Kimura, et al.
Published: (2022-08-01) -
Efficacy and safety of fenofibrate add-on therapy for patients with primary biliary cholangitis and a suboptimal response to UDCA
by: Weijia Duan, et al.
Published: (2018-09-01) -
New developments in the treatment of primary biliary cholangitis – role of obeticholic acid
by: Jhaveri MA, et al.
Published: (2017-08-01)