可解释的机器学习模型对食管异物患者发生穿孔风险的预测价值
黄卫, 张琴, 宋聪颖, 王萍, 陆远强
Predictive value of interpretable machine learning models for the risk of perforation in patients with esophageal foreign bodies
Wei Huang, Qin Zhang, Congying Song
中华危重症医学杂志(电子版)
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2022, (06): 466
-470
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DOI: 10.3877/cma.j.issn.1674-6880.2022.06.005
