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Clinical Natural Language Processing

Clinical Data Science,

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.
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Rating 1.0 based on 2 ratings
Length 6 weeks
Effort 5 weeks of study, 2-4 hours/week
Starts Dec 7 (7 weeks ago)
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

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What people are saying

missing data for final

Missing data for final quiz.

proposed nlp is regexps

extremly poor course

Extremly poor course.

no usefull information

errors in tasks

whole nlp thing

The whole NLP thing in R is REGEXPS (sic!).

time wasting

Time wasting.

final quiz

regexps on r errors

No usefull information, proposed NLP is regexps on R Errors in tasks.

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Rating 1.0 based on 2 ratings
Length 6 weeks
Effort 5 weeks of study, 2-4 hours/week
Starts Dec 7 (7 weeks ago)
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

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