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Updated: May 8, 2026

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
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从MIMIC-IV数据库自动识别艾滋病毒病例

Kai Jiang1, Tru Cao1

  • 1The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, United States.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
|June 3, 2024
PubMed
概括

研究人员开发了一种新的算法,用于在MIMIC-IV电子健康记录数据库中识别人类免疫缺陷病毒 (HIV) 病例. 这种方法通过包括新的HIV-1/HIV-2抗体测试来增强艾滋病毒研究.

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