About this Course

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Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 16 hours to complete

Suggested: 5 weeks of study, 2-4 hours/week...

English

Subtitles: English

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.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 16 hours to complete

Suggested: 5 weeks of study, 2-4 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Introduction: Clinical Natural Language Processing

1 hour to complete
7 videos (Total 20 min), 3 readings, 1 quiz
7 videos
Introduction to Clinical Natural Language Processing3m
NLP Fundamentals: Linguistics1m
NLP Fundamentals: Morphology & Lexicography4m
NLP Fundamentals: Syntax4m
NLP Fundamentals: Sematics & Pragmatics4m
NLP Fundamentals: Wrap Up40s
3 readings
Introduction to Specialization Instructors5m
Course Policies5m
Accessing Course Data and Technology Platform15m
1 practice exercise
Week 1 Assessment20m
Week
2

Week 2

2 hours to complete

Tools: Regular Expressions

2 hours to complete
3 videos (Total 17 min), 2 readings, 2 quizzes
3 videos
Text Processing in the Tidyverse3m
Tips and Tricks for Text Processing5m
2 readings
Regular Expressions and Text Processing in R1h
Note about the Assessment2m
2 practice exercises
Regular Expressions and Text Processing in R - Try it Out For Yourself Exercises40m
Week 2 Assessment30m
Week
3

Week 3

3 hours to complete

Techniques: Note Sections

3 hours to complete
4 videos (Total 14 min), 2 readings, 2 quizzes
4 videos
Clinical Note Types: History and Physical Notes2m
Clinical Note Types: Discharge Summaries2m
Clinical Note Types: Radiology Reports2m
2 readings
Note Section Techniques1h 30m
Note about the Assessment2m
2 practice exercises
Note Section Techniques - Try It Out For Yourself Excercises45m
Week 3 Assessment30m
Week
4

Week 4

3 hours to complete

Techniques: Keyword Windows

3 hours to complete
1 video (Total 5 min), 2 readings, 2 quizzes
2 readings
Keyword Windows Techniques2h
Note about the Assessment2m
2 practice exercises
Keyword Windows Techniques - Try it Out For Yourself Answers45m
Week 4 Assessment30m

About University of Colorado System

The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • Unfortunately at this time we can only allow students who have access to Google services (e.g., a gmail account) to complete the specialization. This is because we give students access to real clinical data and our privacy protections only allow data sharing through the Google BigQuery environment.

More questions? Visit the Learner Help Center.