本課程是 Clinical Data Science 專項課程專項課程的一部分

Laura K. Wiley, PhD

提供方

Clinical Data Science 專項課程科罗拉多大学系统

課程信息

3,466 次近期查看

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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立即開始，按照自己的計劃學習。

第 4 門課程（共 6 門）

Clinical Data Science 專項課程

可靈活調整截止日期

根據您的日程表重置截止日期。

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）

Clinical Data Science 專項課程

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為12 小時

英語（English）

字幕：英語（English）

講師

Laura K. Wiley, PhD

Assistant Professor

Division of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus

14,166 個學生

6 門課程

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.

教學大綱 - 您將從這門課程中學到什麼

週

週 1

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

7 個視頻

Welcome to Clinical Natural Language Processing1分鐘

Introduction to Clinical Natural Language Processing3分鐘

NLP Fundamentals: Linguistics1分鐘

NLP Fundamentals: Morphology & Lexicography4分鐘

NLP Fundamentals: Syntax4分鐘

NLP Fundamentals: Sematics & Pragmatics4分鐘

NLP Fundamentals: Wrap Up40

3 個閱讀材料

Introduction to Specialization Instructors5分鐘

Course Policies5分鐘

Accessing Course Data and Technology Platform15分鐘

1 個練習

Week 1 Assessment20分鐘

週

週 2

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

3 個視頻

Introduction to Regular Expressions7分鐘

Text Processing in the Tidyverse3分鐘

Tips and Tricks for Text Processing5分鐘

2 個閱讀材料

Regular Expressions and Text Processing in R1小時

Note about the Assessment2分鐘

2 個練習

Regular Expressions and Text Processing in R - Try it Out For Yourself Exercises40分鐘

Week 2 Assessment30分鐘

週

週 3

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

4 個視頻

Techniques: Note Sections5分鐘

Clinical Note Types: History and Physical Notes2分鐘

Clinical Note Types: Discharge Summaries2分鐘

Clinical Note Types: Radiology Reports2分鐘

2 個閱讀材料

Note Section Techniques1 小時 30 分

Note about the Assessment2分鐘

2 個練習

Note Section Techniques - Try It Out For Yourself Excercises45分鐘

Week 3 Assessment30分鐘

週

週 4

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

1 個視頻

Techniques: Keyword Windows5分鐘

2 個閱讀材料

Keyword Windows Techniques2小時

Note about the Assessment2分鐘

2 個練習

Keyword Windows Techniques - Try it Out For Yourself Answers45分鐘

Week 4 Assessment30分鐘

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!

This specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to augment learner’s existing skills in statistics and programming to provide examples of specific challenges, tools, and appropriate interpretations of clinical data. By completing this specialization you will know how to: 1) understand electronic health record data types and structures, 2) deploy basic informatics methodologies on clinical data, 3) provide appropriate clinical and scientific interpretation of applied analyses, and 4) anticipate barriers in implementing informatics tools into complex clinical settings. You will demonstrate your mastery of these skills by completing practical application projects using real clinical data. This specialization is supported by our industry partnership with Google Cloud. Thanks to this support, all learners will have access to a fully hosted online data science computational environment for free! Please note that you must have access to a Google account (i.e., gmail account) to access the clinical data and computational environment.

常見問題

我什么时候能够访问课程视频和作业？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
Is financial aid available?
是的，Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请，申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤，包括毕业项目。了解更多。
I live in an area that restricts access to Google products. Will I be able to complete the specialization?
Unfortunately at this time we can only allow students who have access to Google services (e.g., a gmail account) to complete the specialization. This is because we give students access to real clinical data and our privacy protections only allow data sharing through the Google BigQuery environment.

還有其他問題嗎？請訪問學生幫助中心。

Clinical Natural Language Processing