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Updated: May 9, 2025

Modified Experimental Conditions for Noise-Induced Hearing Loss in Mice and Assessment of Hearing Function and Outer Hair Cell Damage
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Published on: February 10, 2023

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对逻辑回归和机器学习算法的比较,用于预测噪音引起的听力损失,并调查SNP loci

Jie Lu1, Xinhao Lu2,3, Yixiao Wang4

  • 1Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, 210009, China.

Scientific reports
|May 2, 2025
PubMed
概括

机器学习模型在预测噪音引起的听力损失 (NIHL) 方面显著优于逻辑回归. 由ML模型识别的特定单核酸多态 (SNP) 位点可以提高职业听力健康的预测准确性.

关键词:
后勤回归的逻辑回归机器学习 机器学习尼尔 (NIHL) 公司在SNP的位置上.

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