A deep learning model for real-time mortality prediction in critically ill children

Abstract Background The rapid development in big data analytics and the data-rich environment of intensive care units together provide unprecedented opportunities for medical breakthroughs in the field of critical care. We developed and validated a machine learning-based model, the Pediatric Risk of...

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Detalhes bibliográficos

Principais autores:	Soo Yeon Kim, Saehoon Kim, Joongbum Cho, Young Suh Kim, In Suk Sol, Youngchul Sung, Inhyeok Cho, Minseop Park, Haerin Jang, Yoon Hee Kim, Kyung Won Kim, Myung Hyun Sohn
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2019-08-01
coleção:	Critical Care
Assuntos:	Machine learning Mortality Intensive care units, pediatric Prognosis Risk assessment
Acesso em linha:	http://link.springer.com/article/10.1186/s13054-019-2561-z
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