This project is a health decision-making system.
HKBU COMP7420 final project.
The data are used to predict the one-year mortality of lung cancer.
To run this project, after downloading and decompressing, you need to install dependencies in terminal, which is command "npm install".
Enter "npm audix fix" once during installation. It can ensure that the environment is installed correctly.
When using "sails lift" to run a program, be sure to select "2" to open it so that drop discards all existing data, otherwise the server will not open correctly.
When the program is opened, 4 new patients are created in the create interface. Go go create page and clicking the Create button, system returns the mortality rate within a year. The sentences are not friendly. Don't let patients use the system directly
Unfortunately, the system does not change the mortality algorithm by increasing the number of patients.
It is worth mentioning that the lung cancer data is from UCI, which is a very reliable lung cancer data center. The source of the data is in the following URL.
https://archive.ics.uci.edu/ml/datasets/Thoracic+Surgery+Data
According to the above 400 patient data. We are quite sure that this data is reliable.
Therefore, the calculated mortality rate in one year is very useful.
The report of this project has been uploaded, and PPT has also been uploaded.
If you have any suggestions, please email 18436617@life.hkbu.edu.hk.
本项目是一款健康决策系统。
是HKBU COMP7420的最终project。
里面的数据是用来预测肺癌的一年内死亡率。
要运行这一个项目，下载解压后，需要在terminal安装npm install来安装依赖。
安装过程中要输入一次npm audix fix。可以确保环境正确安装。
当使用sails lift来运行程序时，一定要选择2来打开，这样可以drop抛弃所有的现存数据，否则服务器将无法正确打开。
打开程序后，在create界面创建新患者时。点击create按钮就会返回一年内的死亡率。其中语句并不友好。不要让患者直接使用该系统。
可惜的是，本系统并没有通过增加病人来改变其中的死亡率算法。
值得一提的是，这其中的肺癌数据是来源于UCI，是一个十分可靠的肺癌数据中心。数据的来源在下面的URL中。
https://archive.ics.uci.edu/ml/datasets/Thoracic+Surgery+Data
根据如上400多条病人数据。我们有相当大的把握知道这个数据是可靠的。
因此，计算出的患者一年内的死亡率是非常有参考性的。
本项目的报告已经上传，与此同时，PPT也上传。
如果有建议欢迎电子邮件18436617@life.hkbu.edu.hk联系。