Clinical Natural Language Processing
Master clinical NLP techniques for processing medical text data. Learn regular expressions, text mining, and practical applications for healthcare analytics.
Course Cost
Free course
Intermediate
Skill Level
11 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Clinical Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Write and implement regular expressions for clinical text analysis
Process and analyze medical note sections effectively
Develop text mining algorithms for healthcare applications
Extract meaningful information from clinical documentation
Implement keyword-based text analysis techniques
Skills you'll gain
This course includes:
1 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course focuses on clinical natural language processing (NLP), teaching fundamental linguistic principles and practical techniques for processing medical text data. Students learn to write regular expressions, handle text data in R, and extract information from clinical notes. The course culminates in a real-world application project where learners develop algorithms to identify diabetic complications from clinical notes. The course utilizes Google Cloud's computational environment for hands-on practice with actual clinical data.
Introduction: Clinical Natural Language Processing
Module 1 · 1 Hours to complete
Tools: Regular Expressions
Module 2 · 2 Hours to complete
Techniques: Note Sections
Module 3 · 3 Hours to complete
Techniques: Keyword Windows
Module 4 · 3 Hours to complete
Practical Application: Identifying Patients with Diabetic Complications
Module 5 · 2 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.




