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对机器学习方法进行比较分析,以预测呼吸道病毒感染和症状严重程度

Yunus Emre Işık1, Zafer Aydın2

  • 1Department of Management Information Systems, Sivas Cumhuriyet University, Sivas, Turkey.

PeerJ
|July 5, 2023
PubMed
概括

这项研究利用基因表达数据和机器学习增强了呼吸道病毒感染预测,显著改善了早期检测和症状严重程度评估. 这些发现强调了免疫系统在预测感染和症状发展中的作用.

关键词:
生物学和遗传学 生物学和遗传学功能评估和选择.机器学习 机器学习路径分析 路径分析呼吸道感染预测的预测

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