课程信息
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第 4 门课程(共 6 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为21 小时

建议:5 weeks of study, 2-4 hours/week...

英语(English)

字幕:英语(English)

第 4 门课程(共 6 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为21 小时

建议:5 weeks of study, 2-4 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 1 小时

Introduction: Clinical Natural Language Processing

7 个视频 (总计 20 分钟), 3 个阅读材料, 1 个测验
7 个视频
Introduction to Clinical Natural Language Processing3分钟
NLP Fundamentals: Linguistics1分钟
NLP Fundamentals: Morphology & Lexicography4分钟
NLP Fundamentals: Syntax4分钟
NLP Fundamentals: Sematics & Pragmatics4分钟
NLP Fundamentals: Wrap Up40
3 个阅读材料
Introduction to Specialization Instructors5分钟
Course Policies5分钟
Accessing Course Data and Technology Platform15分钟
1 个练习
Week 1 Assessment20分钟
2
完成时间为 3 小时

Tools: Regular Expressions

3 个视频 (总计 17 分钟), 2 个阅读材料, 2 个测验
3 个视频
Text Processing in the Tidyverse3分钟
Tips and Tricks for Text Processing5分钟
2 个阅读材料
Regular Expressions and Text Processing in R1 小时 30 分
Note about the Assessment2分钟
2 个练习
Regular Expressions and Text Processing in R - Try it Out For Yourself Exercises40分钟
Week 2 Assessment40分钟
3
完成时间为 2 小时

Techniques: Note Sections

4 个视频 (总计 14 分钟), 1 个阅读材料, 1 个测验
4 个视频
Clinical Note Types: History and Physical Notes2分钟
Clinical Note Types: Discharge Summaries2分钟
Clinical Note Types: Radiology Reports2分钟
1 个阅读材料
Note Section Techniques1 小时 30 分
1 个练习
Note Section Techniques - Try It Out For Yourself Excercises45分钟
4
完成时间为 5 分钟

Techniques: Keyword Windows

1 个视频 (总计 5 分钟)
1 个视频

讲师

Avatar

Laura K. Wiley, PhD

Assistant Professor
Division of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus

关于 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....

关于 Clinical Data Science 专项课程

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....
Clinical Data Science

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