University of Colorado System
Clinical Natural Language Processing
University of Colorado System

Clinical Natural Language Processing

This course is part of Clinical Data Science Specialization

Taught in English

Some content may not be translated

Laura K. Wiley, PhD

Instructor: Laura K. Wiley, PhD

5,366 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

3.6

(21 reviews)

Intermediate level
Some related experience required
12 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll 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.

Details to know

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Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.6

(21 reviews)

Intermediate level
Some related experience required
12 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Clinical Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 5 modules in this course

This module covers the basics of text mining, text processing, and natural language processing. It also provides a information on the linguistic foundations that underly NLP tools.

What's included

7 videos4 readings1 quiz

This module introduces regular expressions, the method of text processing, and how to work with text data in R. Mastery is demonstrated through a programming assignment with applied questions.

What's included

3 videos2 readings2 quizzes

This module discusses how the section of a clinical note can affect the meaning of text in the section. A programming assignment provides hands on practice with how to apply this knowledge to process clinical text.

What's included

4 videos2 readings2 quizzes

This module discusses how you can build windows of text around keywords of interest to understand the context and meaning of how the keyword is being used. A programming assignment provides hands on practice with how to apply this technique to process clinical text.

What's included

1 video2 readings2 quizzes

Apply the tools and techniques that you have learned in the course to a real-world example!

What's included

1 video1 peer review

Instructor

Laura K. Wiley, PhD
University of Colorado System
6 Courses26,856 learners

Offered by

Recommended if you're interested in Data Analysis

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Learner reviews

Showing 3 of 21

3.6

21 reviews

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  • 3 stars

    4.76%

  • 2 stars

    14.28%

  • 1 star

    19.04%

VC
5

Reviewed on May 21, 2020

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