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Updated: Jul 21, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

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根据使用XGBoost和Shapley附加解释方法的症状检测麻病例

Alireza Farzipour1, Roya Elmi2, Hamid Nasiri3

  • 1Department of Computer Science, Semnan University, Semnan 35131-19111, Iran.

Diagnostics (Basel, Switzerland)
|July 29, 2023
PubMed
概括

这项研究引入了一种新的机器学习 (ML) 模型,用于使用症状数据诊断麻疹. 极端梯度提升 (XGBoost) 实现了1.0的准确性,为公众健康提供了一个有前途的工具.

关键词:
MPXVMPXV MPXVVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPXVMPX这就是 SHAP SHAP 的意思.在XGBoost中使用.机器学习是机器学习.的水是的水.

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