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Updated: Jun 27, 2025

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探索COVID-19后的健康影响和特征,使用先进的机器学习技术

Muhammad Nazrul Islam1, Md Shofiqul Islam2, Nahid Hasan Shourav2

  • 1Department of Computer Science and Engineering, Military Institute of Science and Technology, Mirpur Cantonment, Dhaka, 1216, Bangladesh. nazrul@cse.mist.ac.bd.

Scientific reports
|April 30, 2024
PubMed
概括

后COVID-19恢复受到人口统计和健康因素的影响,如睡眠和记忆力. 机器学习,特别是决策树,有效地识别了COVID-19感染后长期健康问题的关键预测因素.

关键词:
在 COVID-19 疫情中,奇正方形的 奇正方形机器学习是机器学习.一个流行病的流行病.皮尔森的系数是统计分析 统计分析

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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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