- Introduction: Clinical Natural Language Processing
- This module covers the basics of text mining, text processing, and natural language processing. It also provides a information on the linguistic foundations that underly NLP tools.
- Tools: Regular Expressions
- This module introduces regular expressions, the method of text processing, and how to work with text data in R. Mastery is demonstrated through a programming assignment with applied questions.
- Techniques: Note Sections
- This module discusses how the section of a clinical note can affect the meaning of text in the section. A programming assignment provides hands on practice with how to apply this knowledge to process clinical text.
- Techniques: Keyword Windows
- This module discusses how you can build windows of text around keywords of interest to understand the context and meaning of how the keyword is being used. A programming assignment provides hands on practice with how to apply this technique to process clinical text.
- Practical Application: Identifying Patients with Diabetic Complications
- Apply the tools and techniques that you have learned in the course to a real-world example!
