Integrating ensemble and machine learning models for early prediction of pneumonia mortality using laboratory tests.

ABSTRACT:

Background

The recent use of artificial intelligence (AI) in medical research is noteworthy. However, most research has focused on medical imaging. Although the importance of laboratory tests in the clinical field is acknowledged by clinicians, they are undervalued in medical AI research. Our study aims to develop an early prediction AI model for pneumonia mortality, primarily using laboratory test results.

Materials and methods

We developed a mortality prediction model using initial laboratory results and basic clinical information of patients with pneumonia. Several machine learning (ML) models and a deep learning method-multilayer perceptron (MLP)-were selected for model development. The area under the receiver operating characteristic curve (AUROC) and F1-score were opti

SUBMITTER: Baik SM 

PROVIDER: S-EPMC11324817 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature