Construction and validation of a nomogram model for predicting rebleeding in high-risk peptic ulcer bleeding patients based on lasso regression: A single center retrospective research
Year: 2025
Type: article
Study design: Observational Study
Abstract: = 13.520 (P = 0.095). The DCA and CIC curve analysis results showed that using this model for patient intervention achieved positive benefits and relatively accurately predicted the rebleeding in PUB patients. Conclusion This research constructs a Nomogram model based on Lasso regression analysis that can effectively predict the rebleeding in PUB patients, providing reference for early prevention of clinical PUB rebleeding.
Source: SLAS TECHNOLOGY
Authors: Qingrong Chen, Xuefeng Chen, Rongna You, Huaxin Huang
Language: English
Subfield: Gastroenterology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,070
OpenAlex ID: W4412464598
