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使用机器学习算法识别严重发烧与血小板缺血综合征的早期预后生物标志物

Jie Zhu1, Jianmei Zhou1, Chunhui Tao1

  • 1Institute of Clinical Virology, Department of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.

Annals of medicine
|January 13, 2025
PubMed
概括

鉴定急性期生物标志物严重发烧与血小板缺血综合征 (SFTS) 是至关重要的. 使用α-基丁酸脱酶 (a-HBDH) 和其变化斜率的新模型准确地预测了SFTS死亡率.

关键词:
严重的发烧与血小板缺血综合征.关键阶段关键阶段关键阶段基于小组的轨迹调整.机器学习预测模型的预测模型.

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