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.
Introduction to Clinical Data
This course is part of AI in Healthcare Specialization
Instructors: Nigam Shah
Sponsored by University of Michigan
24,722 already enrolled
(389 reviews)
What you'll learn
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
Skills you'll gain
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There are 8 modules in this course
What's included
12 videos2 readings3 assignments
What's included
16 videos3 readings4 assignments1 plugin
What's included
12 videos2 readings3 assignments
What's included
18 videos2 readings3 assignments
What's included
19 videos4 readings3 assignments
What's included
11 videos3 readings3 assignments
What's included
7 videos2 readings
What's included
1 video3 readings1 assignment
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Reviewed on Oct 20, 2021
The instructor could be confusing and a bit too brief sometimes, but overall good course on an important topic.
Reviewed on Dec 10, 2020
Great learning on uses of AI in healthcare and how to deal with ethical concerns
Reviewed on Feb 20, 2023
The course is well organized and information dense - very efficient and very clearly explained. Highly recommend for a solid overview of clinical data in healthcare.
Recommended if you're interested in Data Science
University of Michigan
University of Illinois Urbana-Champaign
University of California, Davis
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