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Updated: Jan 8, 2026

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对频率学,贝叶斯学和机器学习模型进行比较分析,以预测SARS-CoV-2 PCR阳性

Francis Chukwuebuka Ihenetu1, Chinyere Ihuarulam Okoro2, Makuochukwu Maryann Ozoude3

  • 1Deapartment of Microbiology, Imo State University, Owerri, Imo, Nigeria.

Frontiers in artificial intelligence
|December 19, 2025
PubMed
概括

一个随机森林模型使用临床和人口统计数据准确预测了SARS-CoV-2感染状况,超过了后勤回归. 这种方法提供了快速查,特别是当实验室检测有限时.

关键词:
贝叶斯分析是贝叶斯分析.在PCR测试中进行PCR测试.这就是SARS-CoV-2病毒.逻辑回归的逻辑回归预测建模预测建模随机的森林随机的森林

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