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粗略的超体积驱动的特征选择与分组智能抽样,以检测狼性炎的临床特征

Xinsen Zhou1, Yi Chen1, Ali Asghar Heidari2

  • 1Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou 325035, China.

Artificial intelligence in medicine
|December 14, 2024
PubMed
概括

一个名为bRGSE_AdaBoost的新算法准确地识别了区分狼性炎 (LN) 亚型的关键指标. 这种计算机辅助模型有助于为患有这种自身免疫性疾病的患者提供早期诊断和治疗计划.

关键词:
在 AdaBoost 中使用 AdaBoost.选择功能选择功能选择.集体智能抽样方式 智能抽样方式狼性炎是一种神经炎.一个粗的超大容量.球体进化过程中的球体进化.

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