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群众来源的机器学习预测长期COVID使用来自国家COVID队列协作协作的数据

Timothy Bergquist1, Johanna Loomba2, Emily Pfaff3

  • 1Sage Bionetworks, Seattle, WA, USA.

EBioMedicine
|September 25, 2024
PubMed
概括

研究人员开发了机器学习模型来预测长期COVID风险. 长期COVID计算挑战 (L3C) 确定了准确的算法,以帮助识别患有这种疾病风险的患者.

关键词:
在 COVID-19 疫情中,社区的挑战 社区的挑战评价 评价 评价长时间的COVID.机器学习是机器学习.帕斯克 (Pasc) 是一个过去.

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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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