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Predicting the Need for Therapeutic Intervention and Mortality in Acute Pancreatitis: A Two-Center International Study Using Machine Learning
Background: Current approaches to predicting intervention needs and mortality have reached 65–85% accuracy, which falls below clinical decision-making requirements in patients with acute pancreatitis (AP). We aimed to accurately predict therapeutic intervention needs and mortality on admission, in A...
Autores principales: | Shi, Na, Lan, Lan, Luo, Jiawei, Zhu, Ping, Ward, Thomas R. W., Szatmary, Peter, Sutton, Robert, Huang, Wei, Windsor, John A., Zhou, Xiaobo, Xia, Qing |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031087/ https://www.ncbi.nlm.nih.gov/pubmed/35455733 http://dx.doi.org/10.3390/jpm12040616 |
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