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.
This course is part of the AI in Healthcare Specialization
About this Course
What you will 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
Syllabus - What you will learn from this course
Asking and answering questions via clinical data mining
Data available from Healthcare systems
Representing time, and timing of events, for clinical data mining
Creating analysis ready datasets from patient timelines
- 5 stars71.50%
- 4 stars23.50%
- 3 stars3.50%
- 2 stars1.50%
TOP REVIEWS FROM INTRODUCTION TO CLINICAL DATA
Course was generally good -- final assessment questions were not always carefully worded nor proofread.
Great course in understanding all the considerations to clinical data.
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.
Excellent overview supported by good frameworks for understanding concepts.
About the AI in Healthcare Specialization
Frequently Asked Questions
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Is this activity accredited for Continuing Medical Education (CME)?
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