Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology

We identified an efficient noninvasive predictive model using extreme gradient boosting for EGVs among hepatitis B patients. The model, presented as a web application, has potential for screening high-risk EGV patients and can aid clinicians in optimizing the use of endoscopy.

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Publication Details

Journal
World Journal of Gastroenterology
Published
2025-04-02
DOI
https://doi.org/10.3748/wjg.v31.i13.104697
Citations
1
Primary Topic
Liver Disease and Transplantation
Type
article
Field-Weighted Citation Impact
1.32
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article

Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology

Haibin Tu, Jin Cheng, Zee Pin Ding, Siyi Feng
1 citations
World Journal of Gastroenterology
Liver Disease and Transplantation
1.32
article

Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology

Haibin Tu, Jin Cheng, Zee Pin Ding, Siyi Feng
article en
1 citations

Abstract

We identified an efficient noninvasive predictive model using extreme gradient boosting for EGVs among hepatitis B patients. The model, presented as a web application, has potential for screening high-risk EGV patients and can aid clinicians in optimizing the use of endoscopy.

World Journal of GastroenterologyVol. 31(13)
Fujian Medical University (CN), Mengchao Hepatobiliary Hospital (CN)
Openalex Percentile: Top 22%
Liver Disease and Transplantation
1.32
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