[Construction of a back propagation neural network model for predicting urosepsis after flexible ureteroscopic lithotripsy].

ABSTRACT:

Objectives

To analyze the association of serum heparin-binding protein (HBP) and C-reactive protein (CRP) levels with urosepsis following flexible ureteroscopic lithotripsy (FURL) and to construct a back propagation neural network prediction model.

Methods

A total of 428 patients with kidney stones who underwent FURL were enrolled. Patients were divided into sepsis group (n=42) and control group (n=386) according to whether post-operative urosepsis developed. Logistic regression analysis was used to determine the risk factors of post-FURL urosepsis and their interactions. A logistic regression model and a back propagation neural network model were developed for predicting post-FURL urosepsis following FURL, and their predictive performance was evaluated using r

SUBMITTER: Chen W 

PROVIDER: S-EPMC11956881 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature