-
Navigate to where the Jupyter Notebook was uploaded onto Google Colab, a cloud-based platform for running code without downloading any local files.
https://colab.research.google.com/drive/1gUbvZCjDTxzFoz_blbkDKQwGoaY81uNG?usp=sharing -
If you are not currently logged into a Google account you will be required to sign into one.
On the top right-hand corner of the web page, click on the blue “Sign in” button. From here, you can sign into your preexisting Google account.

If you do not already have a Google account you can click the blue “Create account” link and fill out the required form.

-
Once you are signed into a Google account, examine the top left-hand corner of the web page.

In order to run the program, you have to click the circular run button in between the vertical navigational bar and the code editor.

-
If you get a “Warning” popup after you hit the button, click on the blue “Run anyway” option located in the bottom right of the popup.

-
After the program has been ran, scroll down past the code editor and the data visualizations until you get to the user interactive widget. Here you can enter the corresponding information for a given patient.

-
Notifications
You must be signed in to change notification settings - Fork 0
Machine learning program that leverages logistic regression in order to determine if a patient is at-risk to having a stroke
drewmarsh/stroke-detector-AI
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Machine learning program that leverages logistic regression in order to determine if a patient is at-risk to having a stroke