Artificial neural network approach for acute poisoning mortality prediction in emergency departments

OBJECTIVE: The number of deaths due to acute poisoning (AP) is on the increase. It is crucial to predict AP patient mortality to identify those requiring intensive care for providing appropriate patient care as well as preserving medical resources. The aim of this study is to predict the risk of in-...

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Detalles Bibliográficos
Autores principales: Park, Seon Yeong, Kim, Kisung, Woo, Seon Hee, Park, Jung Taek, Jeong, Sikyoung, Kim, Jinwoo, Hong, Sungyoup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Emergency Medicine 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517465/
https://www.ncbi.nlm.nih.gov/pubmed/34649411
http://dx.doi.org/10.15441/ceem.20.113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517465/
https://www.ncbi.nlm.nih.gov/pubmed/34649411
http://dx.doi.org/10.15441/ceem.20.113

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