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Updated: Jan 24, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

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可解释的机器学习用于食道癌的早期诊断:一个功能丰富的光梯度增强机器框架与沙普利的附加解释和局部可解释的模型-不可知解释的解释

Adib Md Ridwan1, Khandaker Mohammad Mohi Uddin1

  • 1Department of Computer Science and Engineering, Southeast University, Bangladesh.

The Journal of international medical research
|January 23, 2026
PubMed
概括

早期发现食道癌是至关重要的. 使用LightGBM的机器学习模型实现了99.74%的准确性,识别了改善患者结果的关键风险因素.

关键词:
食道癌是食道癌的一个类型.轻GBMM 轻GBM 轻GBM 轻GBM当地可解释模型-不可知论解释莎普利的添加式解释功能选择 功能选择机器学习是机器学习.

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