This course introduces you to a framework for successful and ethical medical data mining. We will explore the variety of clinical data collected during the delivery of healthcare. You will learn to construct analysis-ready datasets and apply computational procedures to answer clinical questions. We will also explore issues of fairness and bias that may arise when we leverage healthcare data to make decisions about patient care.
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课程信息
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第 2 门课程（共 5 门）
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初级
完成时间大约为12 小时
英语（English）
字幕：英语（English）
您将学到的内容有
How to apply a framework for medical data mining
Ethical use of data in healthcare decisions
How to make use of data that may be inaccurate in systematic ways
What makes a good research question and how to construct a data mining workflow answer it
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 2 门课程（共 5 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为12 小时
英语（English）
字幕：英语（English）
提供方
斯坦福大学
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
教学大纲 - 您将从这门课程中学到什么
完成时间为 1 小时
Asking and answering questions via clinical data mining
完成时间为 1 小时
12 个视频 （总计 19 分钟）, 2 个阅读材料, 3 个测验
12 个视频
Welcome2分钟
Introduction to the data mining workflow1分钟
Real Life Example1分钟
Example: Finding similar patients2分钟
Example: Estimating risk37
Putting patient data on timeline51
Revisit the data mining workflow steps1分钟
Types of research questions2分钟
Research questions suited for clinical data55
Example: making decision to treat1分钟
Properties that make answering a research question useful1分钟
Wrap Up1分钟
2 个阅读材料
Study Guide Module 15分钟
Citations and Additional Readings5分钟
3 个练习
Reflection Exercise10分钟
Reflection Exercise10分钟
Knowledge Check30分钟
完成时间为 2 小时
Data available from Healthcare systems
完成时间为 2 小时
16 个视频 （总计 32 分钟）, 3 个阅读材料, 4 个测验
16 个视频
Review of key entities and the data they collect1分钟
Actors with different interests2分钟
Common data types in Healthcare2分钟
Strengths and weaknesses of observational data2分钟
Bias and error from the healthcare system perspective2分钟
Bias and error of exposures and outcomes50
How a patient's exposure might be misclassified2分钟
How a patient's outcome could be misclassified2分钟
Electronic medical record data2分钟
Claims data2分钟
Pharmacy55
Surveillance datasets and Registries1分钟
Population health data sets3分钟
A framework to assess if a data source is useful1分钟
Wrap Up1分钟
3 个阅读材料
Video Image Credit
Study Guide Module 25分钟
Citations and Additional Readings5分钟
4 个练习
Reflection Exercise10分钟
Reflection Exercise10分钟
Reflection Exercise15分钟
Knowledge Check30分钟
完成时间为 1 小时
Representing time, and timing of events, for clinical data mining
完成时间为 1 小时
12 个视频 （总计 20 分钟）, 2 个阅读材料, 3 个测验
12 个视频
Time, timelines, timescales and representations of time2分钟
Timescale: Choosing the relevant units of time29
What affects the timescale1分钟
Representation of time57
Time series and non-time series data2分钟
Order of events1分钟
Implicit representations of time1分钟
Different ways to put data in bins2分钟
Timing of exposures and outcomes3分钟
Clinical processes are non-stationary2分钟
Wrap Up1分钟
2 个阅读材料
Study Guide Module 35分钟
Citations and Additional Readings5分钟
3 个练习
Reflection Exercise10分钟
Reflection Exercise 215分钟
Knowledge Check30分钟
完成时间为 2 小时
Creating analysis ready datasets from patient timelines
完成时间为 2 小时
18 个视频 （总计 33 分钟）, 2 个阅读材料, 3 个测验
18 个视频
Defining the unit of analysis52
Using features and the presence of features2分钟
How to create features from structured sources1分钟
Standardizing features52
Dealing with too many features3分钟
The origins of missing values3分钟
Dealing with missing values1分钟
Summary recommendations for missing values1分钟
Constructing new features1分钟
Examples of engineered features2分钟
When to consider engineered features1分钟
Main points about creating analysis ready datasets53
Structured knowledge graphs2分钟
So what exactly is in a knowledge graph2分钟
What are important knowledge graphs2分钟
How to choose which knowledge graph to use1分钟
Wrap Up45
2 个阅读材料
Study Guide Module 45分钟
Citations and Additional Readings5分钟
3 个练习
Reflection Exercise10分钟
Reflection Exercise20分钟
Knowledge Check30分钟
审阅
来自INTRODUCTION TO CLINICAL DATA的热门评论
由 YX 提供Nov 4, 2020
Very clear and well-organized course. I have learned quite a bit about the different types of clinical data, why they are important, and how to transfer them to analytical useable data sets.
由 NJ 提供Nov 19, 2020
It would be helpful to be able to see all items that need to be completed. I took the final test and it says I've only completed 2 of 5 courses.
由 KS 提供Oct 16, 2020
Nicely Framed and Executed in a simple language so anyone can catch up earliest.
由 WS 提供Nov 26, 2020
Great course in understanding all the considerations to clinical data.
关于 AI in Healthcare 专项课程
Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.
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我什么时候能够访问课程视频和作业？
我订阅此专项课程后会得到什么？
Is financial aid available?
Is this activity accredited for Continuing Medical Education (CME)?
完成课程后，我会获得大学学分吗？
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