医学
急性胰腺炎
接收机工作特性
预测建模
曲线下面积
胰腺炎
曲线下面积
内科学
机器学习
疾病严重程度
人工智能
计算机科学
药代动力学
作者
You Zhou,Fei Han,Xiaolei Shi,Junxian Zhang,Guangyao Li,Chenchen Yuan,Guotao Lu,Liang‐Hao Hu,Jiajia Pan,Weiming Xiao,Guanghuai Yao
标识
DOI:10.1080/00325481.2022.2099193
摘要
The results showed that the XGBoost algorithm can accurately predict the severity of AP, which can provide an assistance for the clinicians to identify severe AP at an early stage.
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