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Updated: Sep 12, 2025
Experimental Model to Evaluate Resolution of Pneumonia
Published on: February 17, 2023
Development and Validation of Pneumonia Patients Prognosis Prediction Model in Emergency Department Disposition Time
Sunjin Hwang1, Sejin Heo2, Sungjun Hong2
1Department of Digital Health, Samsung Advanced Institute of Health Sciences & Technology, Sungkyunkwan University, Seoul, Korea.
Abstract:
This study aimed to develop and evaluate an artificial intelligence model to predict 28-day mortality of pneumonia patients at the time of disposition from emergency department (ED). A multicenter retrospective study was conducted on data from pneumonia patients who visited the ED of a tertiary academic hospital for 8 months and from the Medical Information Mart for Intensive Care (MIMIC-IV) database. We combined chest X-ray information, clinical data, and CURB-65 score to develop three models with the CURB-65 score as a baseline. A total of 2,874 ED visits were analyzed. The RSF model using CXR, clinical data and CURB-65 achieved a C-index of 0.872 in test set, significantly outperforming the CURB-65 score. This study developed a prediction model in pneumonia patients' prognosis, highlighting the potential for supporting clinical decision making in ED through multi-modal clinical information.
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