Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms.
Journal:
BMC medical research methodology
Published Date:
Apr 22, 2023
Abstract
BACKGROUND: Trauma is one of the most critical public health issues worldwide, leading to death and disability and influencing all age groups. Therefore, there is great interest in models for predicting mortality in trauma patients admitted to the ICU. The main objective of the present study is to develop and evaluate SMOTE-based machine-learning tools for predicting hospital mortality in trauma patients with imbalanced data.