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老人血压健康监控预测 - 脚踏实地干 #29

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# 老人血压健康监控预测

## 作品介绍

关于老年人血压控制“高一点”还是“低一点”的话题,一直都是人们争论的焦点。在临床上,正常成人收缩压为90-139毫米汞柱,

无人陪伴、远在家乡、健康意识落后等问题普遍存在于这一代中老年群体中,利用此作品对老年人的血压健康进行监控预测,给老年人的健康保健服务带来有力的保障。

利用AWS SegaMaker的内置算法DeepAR进行机器学习,同时利用aws部署模型,调用线上模型,预测老人的后两天血压。

## 作品截图

- 全部数据以及训练数据
<p>
<img src="./images/1.png" width="450" style="display:inline;" alt="">
</p>

- 训练数据与测试数据展示
<p>
<img src="./images/2.png" width="450" style="display:inline;" alt="">
</p>

- 构建模型
<p>
<img src="./images/3.png" width="450" style="display:inline;" alt="">
</p>

- 预测结果
<p>
<img src="./images/4.png" width="450" style="display:inline;" alt="">
</p>

<p>
<img src="./images/5.png" width="450" style="display:inline;" alt="">
</p>

## 安装、编译指南
- 安装、运行
直接在aws的segamker服务中的笔记本实例中新建实例,把lpr.ipynb复制粘贴进去即可运行

## 团队介绍
本团队为一个人,在校学习过Python,联系邮箱:[email protected]

## 使用到的 AWS 技术
- s3
- sagemaker
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