Set Reminder Save for later

Clinical Natural Language Processing

This course is a part of Clinical Data Science, a 6-course Specialization series from Coursera.

This course teaches you the fundamentals of clinical natural language processing. In this course you will learn practical techniques for extracting information stored in text-based portions of electronic medical records.
Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera.

Get a Reminder

Not ready to enroll yet? We'll send you an email reminder for this course

Send to:

Coursera

&

University of Colorado System

Rating Not enough ratings
Length 0 weeks
Effort 5 weeks of study, 2-4 hours/week
Starts On Demand (Start anytime)
Cost $49
From University of Colorado System via Coursera
Instructor Laura K. Wiley, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Data Science Data Analysis Health Informatics

Get a Reminder

Get an email reminder about this course

Send to:

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Natural Resource Management $40k

Natural Resources Specialist 1 $49k

Natural Resources Specialist 4 $51k

Natural / Adabas Developer $67k

Natural Resource Scientist $72k

Natural Scientist $72k

Natural Resource Assessment $77k

Department of Natural Resources $77k

Natural/Adabas Developer $77k

Natural Adabas Programmer $91k

Natural Gas Options $112k

Trader, Natural Gas $144k

Write a review

Your opinion matters. Tell us what you think.

Coursera

&

University of Colorado System

Rating Not enough ratings
Length 0 weeks
Effort 5 weeks of study, 2-4 hours/week
Starts On Demand (Start anytime)
Cost $49
From University of Colorado System via Coursera
Instructor Laura K. Wiley, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Data Science Data Analysis Health Informatics

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now