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University of Colorado Boulder - Clinical Natural Language Processing 

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Clinical Natural Language Processing
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Coursera 
Overview

Duration

12 hours

Start from

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Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Clinical Natural Language Processing
 at 
Coursera 
Highlights

  • This Course Plus the Full Specialization.
  • Shareable Certificates.
  • Graded Programming Assignments.
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Clinical Natural Language Processing
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • This course teaches you the fundamentals of clinical natural language processing (NLP). In this course you will learn the basic linguistic principals underlying NLP, as well as how to write regular expressions and handle text data in R. You will also learn practical techniques for text processing to be able to extract information from clinical notes. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop text processing algorithms to identify diabetic complications from clinical notes. You will complete this work using a free, online computational environment for data science hosted by our Industry Partner Google Cloud.

Clinical Natural Language Processing
 at 
Coursera 
Curriculum

Introduction: Clinical Natural Language Processing

Welcome to Clinical Natural Language Processing

Introduction to Clinical Natural Language Processing

NLP Fundamentals: Linguistics

NLP Fundamentals: Morphology & Lexicography

NLP Fundamentals: Syntax

NLP Fundamentals: Sematics & Pragmatics

NLP Fundamentals: Wrap Up

Introduction to Specialization Instructors

Course Policies

Accessing Course Data and Technology Platform

Week 1 Assessment

Tools: Regular Expressions

Introduction to Regular Expressions

Text Processing in the Tidyverse

Tips and Tricks for Text Processing

Regular Expressions and Text Processing in R

Note about the Assessment

Regular Expressions and Text Processing in R - Try it Out For Yourself Exercises

Week 2 Assessment

Techniques: Note Sections

Techniques: Note Sections

Clinical Note Types: History and Physical Notes

Clinical Note Types: Discharge Summaries

Clinical Note Types: Radiology Reports

Note Section Techniques

Note about the Assessment

Note Section Techniques - Try It Out For Yourself Excercises

Week 3 Assessment

Techniques: Keyword Windows

Techniques: Keyword Windows

Keyword Windows Techniques

Note about the Assessment

Keyword Windows Techniques - Try it Out For Yourself Answers

Week 4 Assessment

Practical Application: Identifying Patients with Diabetic Complications

Welcome to Practical Applications!

Clinical Natural Language Processing
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Clinical Natural Language Processing
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