Analyzing Clinical Natural Language Data

3 Credits

This course will convey specialized clinical natural language processing (NLP) principles and methods, as well as how to write regular expressions and parse and collate information from text-rich health documents such as electronic health records, clinical notes, and peer-reviewed medical literature. The course will engage real-world data sets for students to develop text-processing strategies. Computing will be a significant component of the course, ensuring students acquire the skills necessary to work with clinical natural language data. Prerequisites: BSTA 142