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）
初级
完成时间大约为12 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
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
可灵活调整截止日期
根据您的日程表重置截止日期。
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）
初级
完成时间大约为12 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
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
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
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
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
审阅
来自INTRODUCTION TO CLINICAL DATA的热门评论
由 OA 提供Mar 14, 2021
The course program is very intuitive and challenging. Overall, it is a very good course and I will recommend it to anyone interested in understanding clinical data, in particular for data scientists.
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 CC 提供Jul 1, 2021
I like this course because duration that instrutors teach it isn't too lone it easy to understand. And you can gain more your skills.
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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Is this activity accredited for Continuing Medical Education (CME)?
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