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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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
Course 2 of 5 in the AI in Healthcare Specialization.
Syllabus
WEEK 1: Asking and answering questions via clinical data mining
WEEK 2: Data available from Healthcare systems
WEEK 3: Representing time, and timing of events, for clinical data mining
WEEK 4: Creating analysis ready datasets from patient timelines
WEEK 5: Handling unstructured healthcare data: text, images, signals
WEEK 6: Putting the pieces together: Electronic phenotyping
WEEK 7: Ethics
WEEK 8: Course Conclusion
