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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-...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Korean Society of Emergency Medicine
2021
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| Materias: | |
| 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 |