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Machine learning-based prediction models for accidental hypothermia patients
BACKGROUND: Accidental hypothermia is a critical condition with high risks of fatal arrhythmia, multiple organ failure, and mortality; however, there is no established model to predict the mortality. The present study aimed to develop and validate machine learning-based models for predicting in-hosp...
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| Publicado no: | J Intensive Care |
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| Main Authors: | , , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7797142/ https://ncbi.nlm.nih.gov/pubmed/33422146 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40560-021-00525-z |
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