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Updated: May 25, 2025

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人工智能模型预测COVID-19疫苗接种后异常子宫出血

Yunjeong Choi1, Jaeyu Park2, Hyejun Kim2,3

  • 1Department of Biomedical Engineering, Kyung Hee University, 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 17104, South Korea.

Scientific reports
|February 27, 2025
PubMed
概括

一个机器学习模型可以预测50岁以下的女性在接种COVID-19疫苗后出现异常子宫出血 (AUB). 关键预测因素包括接种频率,Novavax疫苗数量和血红蛋白水平,有助于风险评估.

关键词:
不正常的子宫出血.接种COVID-19疫苗的时间组合模型组合模型机器学习是机器学习.

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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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