A pediatric emergency prediction model using natural language process in the pediatric emergency department

A pediatric emergency prediction model using natural language process in the pediatric emergency department

Abstract This study developed a predictive model using deep learning (DL) and natural language processing (NLP) to identify emergency cases in pediatric emergency departments. It analyzed 87,759 pediatric cases from a South Korean tertiary hospital (2012–2021) using electronic medical records. Vario...

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Bibliographic Details
Main Authors: Arum Choi, Chohee Kim, Jisu Ryoo, Jangyeong Jeon, Sangyeon Cho, Dongjoon Lee, Junyeong Kim, Changhee Lee, Woori Bae
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Pediatric emergency department
Emergency room visits
Prediction model
Natural language process
Language model
Online Access:https://doi.org/10.1038/s41598-025-87161-x
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https://doi.org/10.1038/s41598-025-87161-x

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