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.
提供方
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 1 小時
Introduction: Clinical Natural Language Processing
7 個視頻 （總計 20 分鐘）, 3 個閱讀材料, 1 個測驗
7 個視頻
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 Assessment15分鐘
週
2完成時間為 3 小時
Tools: Regular Expressions
3 個視頻 （總計 17 分鐘）, 2 個閱讀材料, 2 個測驗
3 個視頻
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 R30分鐘
Note about the Assessment2分鐘
2 個練習
Week 2 Practice Quiz40分鐘
Week 2 Assessment20分鐘
週
3完成時間為 2 小時
Techniques: Note Sections
4 個視頻 （總計 14 分鐘）, 1 個閱讀材料
4 個視頻
Clinical Note Types: History and Physical Notes2分鐘
Clinical Note Types: Discharge Summaries2分鐘
Clinical Note Types: Radiology Reports2分鐘
1 個閱讀材料
Note Section Techniques30分鐘
週
4講師
Laura K. Wiley, PhD
Assistant ProfessorDivision of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus
關於 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.
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？
注册以便获得证书后，您将有权访问所有视频、测验和编程作业（如果适用）。只有在您的班次开课之后，才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程，可能无法访问某些作业。
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。
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