Accurate prediction of acute pancreatitis severity with integrative blood molecular measurements

Background: Early diagnosis of severe acute pancreatitis (SAP) is essential to minimize its mortality and improve prognosis. We aimed to develop an accurate and applicable machine learning predictive model based on routine clinical testing results for stratifying acute pancreatitis (AP) severity. Re...

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Detalles Bibliográficos
Autores principales: Sun, Hong-Wei, Lu, Jing-Yi, Weng, Yi-Xin, Chen, Hao, He, Qi-Ye, Liu, Rui, Li, Hui-Ping, Pan, Jing-Ye, Shi, Ke-Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034948/
https://www.ncbi.nlm.nih.gov/pubmed/33714951
http://dx.doi.org/10.18632/aging.202689

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034948/
https://www.ncbi.nlm.nih.gov/pubmed/33714951
http://dx.doi.org/10.18632/aging.202689

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