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
Access provided by Coursera Learning Team
27,022 already enrolled
(410 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 Jan 1, 2022
Very nice and accessible introduction to clinical data and the associated ethical considerations.
Reviewed on Jul 7, 2024
Loved it, videos were short and to the point. Easy to sustain attention in bite size.
Reviewed on Jul 2, 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.
Recommended if you're interested in Data Science
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