A deep learning model for predicting multidrug-resistant organism infection in critically ill patients.

ABSTRACT:

Background

This study aimed to apply the backpropagation neural network (BPNN) to develop a model for predicting multidrug-resistant organism (MDRO) infection in critically ill patients.

Methods

This study collected patient information admitted to the intensive care unit (ICU) of the Affiliated Hospital of Qingdao University from August 2021 to January 2022. All patients enrolled were divided randomly into a training set (80%) and a test set (20%). The least absolute shrinkage and selection operator and stepwise regression analysis were used to determine the independent risk factors for MDRO infection. A BPNN model was constructed based on these factors. Then, we externally validated this model in patients from May 2022 to July 2022 over the same center. The model performanc

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10633993 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature