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.
This course is part of the Clinical Data Science Specialization
About this Course
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.
Syllabus - What you will learn from this course
Introduction: Clinical Natural Language Processing
Tools: Regular Expressions
Techniques: Note Sections
Techniques: Keyword Windows
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TOP REVIEWS FROM CLINICAL NATURAL LANGUAGE PROCESSING
Excellent course. Well paced, well thoughtout and put together.
About the Clinical Data Science Specialization
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