环境健康风险评估数据清洗框架研究

    Research on Data cleaning Framework for Environmental Health Risk Assessment

    • 摘要:
      目的 提出并规范环境健康风险评估数据清洗的工作流程和操作步骤、选择合适的处理方法,提高数据清洗工作的效率。
      方法 通过检索国内外文献梳理总结环境健康数据的清洗方法和应用情况,结合风险评估对数据的要求,根据实践应用经验提出环境健康风险评估数据清洗框架。
      结果 建立了环境健康风险评估数据清洗框架,包括工作准备、数据探索、数据检测、数据清洗和数据终库。
      结论 本研究提出的环境健康风险评估数据清洗框架,规范了清洗流程和操作步骤,为从事环境健康风险评估的工作人员提供参考和技术支撑。

       

      Abstract:
      Objective To propose and standardize the workflow and operational procedures for environmental health risk assessment data cleaning, select appropriate processing methods, and improve the efficiency of data cleaning.
      Methods By reviewing domestic and international literature, the data cleaning method and applications of environmental health data were summarized. Combined with the data requirements for risk assessment and practical application experience, a data cleaning framework for environmental health risk assessment was proposed.
      Results The data cleaning framework for environmental health risk assessment was established, including work preparation, data exploration, data verification, data cleaning, and final database construction.
      Conclusion The data cleaning framework proposed in this study standardizes the cleaning process and operational steps, providing reference and technical support for professionals engaged in environmental health risk assessment.

       

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