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对影响肺移植受体结果最有影响的因素的分析:基于UNOS数据的多变量预测模型

Marsa Gholamzadeh1, Reza Safdari1, Mehrnaz Asadi Gharabaghi2

  • 1Health Information Management and Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran (the Islamic Republic of).

BMJ open
|May 16, 2025
PubMed
概括

机器学习模型可以通过识别关键患者因素来优化肺移植 (LTx) 优先分配. 一个随机森林模型表现出卓越的性能,帮助医生对LTx候选人的决策.

关键词:
机器学习 机器学习肺部疾病 肺部疾病移植医学 移植医学

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