A Logistic Regression Model for Predicting the Risk of Subsequent Surgery among Patients with Newly Diagnosed Crohn’s Disease Using a Brute Force Method

A Logistic Regression Model for Predicting the Risk of Subsequent Surgery among Patients with Newly Diagnosed Crohn’s Disease Using a Brute Force Method

Surgery avoidance is an important goal in Crohn’s disease (CD) treatment and predicting the risk of subsequent surgery is important to determine adequate therapeutic strength for patients with newly diagnosed CD. Herein, we aimed to construct a prediction model for the risk of subsequent surgery bas...

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Bibliographic Details
Main Authors: Kohei Ogasawara, Hiroto Hiraga, Yoshihiro Sasaki, Noriko Hiraga, Naoki Higuchi, Keisuke Hasui, Shinji Ota, Takato Maeda, Yasuhisa Murai, Tetsuya Tatsuta, Hidezumi Kikuchi, Daisuke Chinda, Tatsuya Mikami, Masashi Matsuzaka, Hirotake Sakuraba, Shinsaku Fukuda
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Diagnostics
Subjects:
Crohn’s disease
surgery
prediction
brute force method
newly diagnosed
Online Access:https://www.mdpi.com/2075-4418/13/23/3587

Internet

https://www.mdpi.com/2075-4418/13/23/3587

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