Automated Machine Learning for the Early Prediction of the Severity of Acute Pancreatitis in Hospitals

BACKGROUND: Machine learning (ML) algorithms are widely applied in building models of medicine due to their powerful studying and generalizing ability. This study aims to explore different ML models for early identification of severe acute pancreatitis (SAP) among patients hospitalized for acute pan...

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Detalles Bibliográficos
Autores principales: Yin, Minyue, Zhang, Rufa, Zhou, Zhirun, Liu, Lu, Gao, Jingwen, Xu, Wei, Yu, Chenyan, Lin, Jiaxi, Liu, Xiaolin, Xu, Chunfang, Zhu, Jinzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cellular and Infection Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226483/
https://www.ncbi.nlm.nih.gov/pubmed/35755847
http://dx.doi.org/10.3389/fcimb.2022.886935

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226483/
https://www.ncbi.nlm.nih.gov/pubmed/35755847
http://dx.doi.org/10.3389/fcimb.2022.886935

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