Machine Learning Algorithms to Predict Mortality of Neonates on Mechanical Intubation for Respiratory Failure

Background: Early identification of critically ill neonates with poor outcomes can optimize therapeutic strategies. We aimed to examine whether machine learning (ML) methods can improve mortality prediction for neonatal intensive care unit (NICU) patients on intubation for respiratory failure. Metho...

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Detalles Bibliográficos
Autores principales: Hsu, Jen-Fu, Yang, Chi, Lin, Chun-Yuan, Chu, Shih-Ming, Huang, Hsuan-Rong, Chiang, Ming-Chou, Wang, Hsiao-Chin, Liao, Wei-Chao, Fu, Rei-Huei, Tsai, Ming-Horng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533201/
https://www.ncbi.nlm.nih.gov/pubmed/34680497
http://dx.doi.org/10.3390/biomedicines9101377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533201/
https://www.ncbi.nlm.nih.gov/pubmed/34680497
http://dx.doi.org/10.3390/biomedicines9101377

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