Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study.

ABSTRACT:

Background

Patients with lung cancer are among the most frequent visitors to emergency departments due to cancer-related problems, and the prognosis for those who seek emergency care is dismal. Given that patients with lung cancer frequently visit health care facilities for treatment or follow-up, the ability to predict emergency department visits based on clinical information gleaned from their routine visits would enhance hospital resource utilization and patient outcomes.

Objective

This study proposed a machine learning-based prediction model to identify risk factors for emergency department visits by patients with lung cancer.

Methods

This was a retrospective observational study of patients with lung cancer diagnosed at Seoul National University Bundang Hospital,

SUBMITTER: Lee AR 

PROVIDER: S-EPMC10733827 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature