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Updated: Sep 20, 2025

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右心室菌株作为可解释机器学习的关键特征,用于识别塔科苏博综合征:基于CMR的多中心研究

Zeliu Du1, Hongfei Hu1, Chenqi Shen1

  • 1Zhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology, Key Laboratory of Precision Medicine of Lishui City, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China (Z.D., H.H., C.S., J.M., Y.F., Y.H., X.C., X.G., Z.H., L.J., Y.S., J.J., C.L.); Department of Radiology, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China (Z.D., H.H., C.S., J.M., Y.F., Y.H., X.C., X.G., Z.H., L.J., Y.S., J.J., C.L.).

Academic radiology
|May 22, 2025
PubMed
概括

一个可解释的机器学习模型准确地区分了Takotsubo综合征 (TTS) 与急性心肌梗塞 (AMI) 和急性心肌炎 (AM). 右心室应变是TTS的关键诊断指标.

关键词:
心脏磁共振是一种心脏磁共振.机器学习是机器学习.右心室的右心室.沙普利的添加剂解释 (SHAP)塔科茨武博综合征是什么意思

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