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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Clinical Data Science 專項課程科罗拉多大学系统課程信息
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第 4 門課程（共 6 門）
中級
完成時間大約為12 小時
英語（English）
字幕：英語（English）
您將學到的內容有
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.
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 4 門課程（共 6 門）
中級
完成時間大約為12 小時
英語（English）
字幕：英語（English）
提供方
科罗拉多大学系统
The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 1 小時
Introduction: Clinical Natural Language Processing
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.
完成時間為 1 小時
7 個視頻 （總計 20 分鐘）, 3 個閱讀材料, 1 個測驗
完成時間為 2 小時
Tools: Regular Expressions
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.
完成時間為 2 小時
3 個視頻 （總計 17 分鐘）, 2 個閱讀材料, 2 個測驗
完成時間為 3 小時
Techniques: Note Sections
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.
完成時間為 3 小時
4 個視頻 （總計 14 分鐘）, 2 個閱讀材料, 2 個測驗
完成時間為 3 小時
Techniques: Keyword Windows
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.
完成時間為 3 小時
1 個視頻 （總計 5 分鐘）, 2 個閱讀材料, 2 個測驗
關於 Clinical Data Science 專項課程
Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist!
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我订阅此专项课程后会得到什么？
有助学金吗？
I live in an area that restricts access to Google products. Will I be able to complete the specialization?
還有其他問題嗎？請訪問 學生幫助中心。
