Prediction of outpatient waiting time: using machine learning in a tertiary children's hospital.

ABSTRACT:

Background

Accurately predicting waiting time for patients is crucial for effective hospital management. The present study examined the prediction of outpatient waiting time in a Chinese pediatric hospital through the use of machine learning algorithms. If patients are informed about their waiting time in advance, they can make more informed decisions and better plan their visit on the day of admission.

Methods

First, a novel classification method for the outpatient clinic in the Chinese pediatric hospital was proposed, which was based on medical knowledge and statistical analysis. Subsequently, four machine learning algorithms [linear regression (LR), random forest (RF), gradient boosting decision tree (GBDT), and K-nearest neighbor (KNN)] were used to construct prediction

SUBMITTER: Li X 

PROVIDER: S-EPMC10730972 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature