About this Course

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Intermediate Level
Approx. 12 hours to complete
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.

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 12 hours to complete
English

Offered by

Placeholder

University of Colorado System

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
Week
2

Week 2

2 hours to complete

Tools: Regular Expressions

2 hours to complete
3 videos (Total 17 min), 2 readings, 2 quizzes
Week
3

Week 3

3 hours to complete

Techniques: Note Sections

3 hours to complete
4 videos (Total 14 min), 2 readings, 2 quizzes
Week
4

Week 4

3 hours to complete

Techniques: Keyword Windows

3 hours to complete
1 video (Total 5 min), 2 readings, 2 quizzes

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About the Clinical Data Science Specialization

Clinical Data Science

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