Fig 1.
HIS: Hospital Information System, EMR: Electronic Medical Record, LIS: Microbiology Information System.
Table 1.
Selected characteristics of the study population.
Table 2.
Variables used in the entry model and the HAI model.
Fig 2.
Illustration of the time lines of the two predictive models; the entry model and the HA-UTI model.
Fig 3.
Receiver Operating Characteristic (ROC) curves for the machine learning models.
Fig 4.
The cumulative lift for the entry model.
Table 3.
The input (predictor) variables used in the decision tree machine-learning model for the UTI prediction at the time of admission (entry-model).
Table 4.
Univariate and multivariate analysis of the impactful predictive feature in the entry-model.