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Health Informatics |
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Most of the lectures, labs, and notebooks are avalible in github and canvas Legend: ๐ฅ slides, ๐ notes, ๐ Jupyter notebook, ๐ฅ YouTube video.
- Chapter 3.0: Setup for Health Data Science ๐ฅ
- Chapter 3.1: Introductin to Health Data Science Tools and Concepts ๐ฅ ๐ ๐
- Chapter 3.2: Getting Data from real-world systems (open data, EHR/EMR Data, insurance claims etc.)
- Chapter 3.3: Data Cleaning and Wrangling, Exploratory data analysis and Visualization
- Chapter 3.4: Recall - Statistical methods
- Chapter 3.5: Machine Learning methods - 1
- Chapter 3.6: Formulating Public Health Research or Questions
- Chapter 3.7: Packaging the process as application or study paper.