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

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 Mortali...

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Detalles Bibliográficos
Autores principales: Kim, Soo Yeon, Kim, Saehoon, Cho, Joongbum, Kim, Young Suh, Sol, In Suk, Sung, Youngchul, Cho, Inhyeok, Park, Minseop, Jang, Haerin, Kim, Yoon Hee, Kim, Kyung Won, Sohn, Myung Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694497/
https://www.ncbi.nlm.nih.gov/pubmed/31412949
http://dx.doi.org/10.1186/s13054-019-2561-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694497/
https://www.ncbi.nlm.nih.gov/pubmed/31412949
http://dx.doi.org/10.1186/s13054-019-2561-z

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