課程信息
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第 1 門課程(共 3 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

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中級

完成時間大約為21 小時

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

英語(English)

字幕:英語(English)

第 1 門課程(共 3 門)

100% 在線

立即開始,按照自己的計劃學習。

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21 小時

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

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

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
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
2
完成時間為 3 小時

Tools: Regular Expressions

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3 個視頻 (總計 17 分鐘), 2 個閱讀材料, 2 個測驗
2 個閱讀材料
Regular Expressions and Text Processing in R1 小時 30 分
Note about the Assessment2分鐘
2 個練習
Week 2 Practice Quiz40分鐘
Week 2 Assessment20分鐘
3
完成時間為 2 小時

Techniques: Note Sections

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4 個視頻 (總計 14 分鐘), 1 個閱讀材料
4 個視頻
Clinical Note Types: Radiology Reports2分鐘
1 個閱讀材料
Note Section Techniques1 小時 30 分
4
完成時間為 5 分鐘

Techniques: Keyword Windows

...
1 個視頻 (總計 5 分鐘)
1 個視頻

講師

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Laura K. Wiley, PhD

Assistant Professor
Division 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....
Clinical Data Science

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