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模拟CRT的多阶段决策过程的新方法,使用机器学习与不确定性量化.

Kristoffer Larsen1, Chen Zhao2, Zhuo He2

  • 1Department of Mathematical Sciences, Michigan Technological University, Houghton, MI, USA.

Journal of imaging informatics in medicine
|September 20, 2025
PubMed
概括

这项研究引入了一种新的多阶段机器学习模型,用于预测心力衰竭患者对心脏再同步治疗 (CRT) 的反应. 该模型有效地使用不确定性量化来减少对昂贵的SPECT MPI数据的需求,同时保持高预测准确度.

关键词:
在CRT中,CRT可以在CRT中使用CRT.机器学习 机器学习多个阶段的多阶段.在SPECT MPI中使用MPI.不确定性量化不确定性的量化.

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