Clinical Natural Language Processing
Completed by MELISSA DANIELA MOLINA
May 8, 2026
12 hours (approximately)
MELISSA DANIELA MOLINA'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: Clinical Informatics
- Category: Clinical Data Management
- Category: R (Software)
- Category: Health Informatics
- Category: Natural Language Processing
- Category: Text Mining
- Category: Google Cloud Platform
- Category: R Programming
- Category: grep
- Category: Data Processing
- Category: Unstructured Data
- Category: Clinical Documentation
