预测抑郁症:使用CDC NHANES网站上的医疗数据通过机器学习预测抑郁症的项目。 使用Streamlit创建了一个供用户浏览此项目中数据的配套仪表板。 使用Jupyter Notebook用python编写的主要项目流程分析和Visual Studio代码,用于编写自定义功能和创建仪表板-源码

上传者: 42133861 | 上传时间: 2021-05-08 20:21:30 | 文件大小: 105.86MB | 文件类型: ZIP
使用卫生保健数据预测抑郁 作者:Vivienne DiFrancesco 可以在找到用于探索该项目中使用的数据的配套仪表板 该存储库的内容是对使用机器学习模型来预测使用医疗保健数据的人的抑郁症的分析。 希望可以使这项工作易于访问和复制,因此对这种分析进行了详细说明。 储存库结构 README.md:此项目审阅者的顶级自述文件 first_notebook.ipynb:从数据清理阶段开始在jupyter笔记本中进行分析的叙述性文档 second_notebook.ipynb:在项目的探索阶段清理数据之后开始的叙述性文档的延续 PredictingDepressionSlides.pdf:项目演示幻灯片的PDF版本 project_functions文件夹:包含编写用于first_notebook和second_notebook的自定义函数 仪表板文件夹:包含用于创建此项目的配套仪表板的文件

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