Machine learning model identifies aggressive acute pancreatitis within 48 h of admission: a large retrospective study

BACKGROUND: Acute pancreatitis (AP) with critical illness is linked to increased morbidity and mortality. Current risk scores to identify high-risk AP patients have certain limitations. OBJECTIVE: To develop and validate a machine learning tool within 48 h after admission for predicting which patien...

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Detalles Bibliográficos
Autores principales: Yuan, Lei, Ji, Mengyao, Wang, Shuo, Wen, Xinyu, Huang, Pingxiao, Shen, Lei, Xu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707001/
https://www.ncbi.nlm.nih.gov/pubmed/36447180
http://dx.doi.org/10.1186/s12911-022-02066-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707001/
https://www.ncbi.nlm.nih.gov/pubmed/36447180
http://dx.doi.org/10.1186/s12911-022-02066-3

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