Clinical Natural Language Processing
Completed by Vasileios Papaioannou
March 25, 2025
12 hours (approximately)
Vasileios Papaioannou's account is verified. Coursera certifies their successful completion of Clinical Natural Language Processing
What you will learn
Recognize and distinguish the difference in complexity and sophistication of text mining, text processing, and natural language processing.
Write basic regular expressions to identify common clinical text.
Assess and select note sections that can be used to answer analytic questions.
Write R code to search text windows for other keywords and phrases to answer analytic questions.
Skills you will gain
- Category: R Programming
- Category: Google Cloud Platform
- Category: Clinical Informatics
- Category: Clinical Data Management
- Category: Natural Language Processing
- Category: Text Mining
- Category: Health Informatics
- Category: grep
- Category: Data Processing
- Category: Unstructured Data
- Category: R (Software)
- Category: Clinical Documentation
