Welcome to the AI in Medicine course repository! This repository contains resources and notebooks for practical exercises in the course.
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data: This folder contains the datasets used in the practical exercises.
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heart_disease.ipynb: This Jupyter notebook covers the analysis of heart disease in the context of AI in medicine.
Follow these steps to run the notebook in Google Colab:
Step 1: Open the Notebook in Colab
Click on the "Open In Colab" badge next to the heart_disease.ipynb file in the README. This will open the notebook in Google Colab.
Step 2: Sign in to Google Account
If you are not already signed in to a Google account, you will be prompted to sign in or create a Google account.
If you need to create an account:
1. Click on "Create Account" when prompted to sign in to Google.
2. Choose "For Myself" and follow the steps to create a new account.
3. Use your UniSR email for account creation.
4. Important: Select the option to keep your existing email. This ensures that your UniSR email is your primary email associated with the Google account.
Step 3 (Optional): Copy the Notebook to Your Google Drive (Optional)
For a seamless experience and to save your changes, click on the "Copy to Drive" option in the Colab toolbar. This will create a copy of the notebook in your Google Drive.
Step 4: Run the Notebook Cells
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Understanding Cells: In a Jupyter notebook, the content is organized into "cells." Each cell can contain either text or code.
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Running Code Cells: The interactive part of the notebook is usually in the form of code cells. To execute the code and see the results, you need to "run" these cells.
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Locating the Play Button: Look for a "play button" icon near the top-left corner of each code cell. This button is what you'll use to run the code within that specific cell.
Execution of the cell is considered concluded/completed when the green checkmark appears next to it.
Step 5(Optional): Save Your Changes (if running on a copy)
If you made changes and are running a copy in your Google Drive, make sure to save the notebook. You can do this by clicking on "File" in the Colab toolbar and selecting "Save a copy in Drive" or "Save" if it's an existing copy.