Using machine learning to construct the diagnosis model of female bladder outlet obstruction based on urodynamic study data.

ABSTRACT:

Purpose

To intelligently diagnose whether there is bladder outlet obstruction (BOO) in female with decent detrusor contraction ability by focusing on urodynamic study (UDS) data.

Materials and methods

We retrospectively reviewed the UDS data of female patients during urination. Eleven easily accessible urinary flow indicators were calculated according to the UDS data of each patient during voiding period. Eight diagnosis models based on back propagation neural network with different input feature combination were constructed by analyzing the correlations between indicators and lower urinary tract dysfunction labels. Subsequently, the stability of diagnostic models was evaluated by five-fold cross-validation based on training data, while the performance was compared on test d

SUBMITTER: Zhou Q 

PROVIDER: S-EPMC11543646 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature