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Health Informatics
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Elective Course on Health Informatics 2024

Lectures

Most of the lectures, labs, and notebooks are avalible in github and canvas Legend: ๐Ÿ–ฅ slides, ๐Ÿ“ notes, ๐Ÿ““ Jupyter notebook, ๐ŸŽฅ YouTube video.

Module 1: Introduction to Health Informatics

Module 2: Health Information System / Digital Health

Module 3: Health Data Science

  • Chapter 3.0: Setup for Health Data Science ๐Ÿ–ฅ
  • Chapter 3.1: Introductin to Health Data Science Tools and Concepts ๐Ÿ–ฅ ๐Ÿ“ ๐Ÿ““
  • 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.

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