Deep learning to predict emergency department revisit using static and dynamic features (Deep Revisit): development and validation study

Abstract Background Emergency Department (ED) revisits represent a critical issue in emergency medicine. Identifying high-risk revisit cases (revisits with intensive care unit admissions, cardiac arrest, or requiring emergency surgery) is particularly important. While prior studies have explored mac...

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Бібліографічні деталі
Автори:	Su-Yin Hsu, Jhe-Yi Jhu, Jun-Wan Gao, Chien-Hua Huang, Chu-Lin Tsai, Li-Chen Fu
Формат:	Artigo
Мова:	Inglês
Опубліковано:	BMC 2025-12-01
Серія:	BioData Mining
Предмети:	Time series data Emergency department revisit Deep learning Hybrid model
Онлайн доступ:	https://doi.org/10.1186/s13040-025-00509-x
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Deep learning to predict emergency department revisit using static and dynamic features (Deep Revisit): development and validation study

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