Prediction of hospitalization using artificial intelligence for urgent patients in the emergency department
Abstract Timely assessment to accurately prioritize patients is crucial for emergency department (ED) management. Urgent (i.e., level-3, on a 5-level emergency severity index system) patients have become a challenge since under-triage and over-triage often occur. This study was aimed to develop a co...
Guardado en:
Autores principales: | Jung-Ting Lee, Chih-Chia Hsieh, Chih-Hao Lin, Yu-Jen Lin, Chung-Yao Kao |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/02e679f6ef55470f95856821d8d1eee4 |
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