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
Offered By
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
Offered by

Stanford University
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.
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
Reviews
- 5 stars69.23%
- 4 stars25.44%
- 3 stars4.14%
- 2 stars1.18%
TOP REVIEWS FROM INTRODUCTION TO CLINICAL DATA
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.
Very nice and accessible introduction to clinical data and the associated ethical considerations.
Good introductory course covering key features of the various data that are gathered or used in health care. No prior knowledge about the topic is required.
Course was generally good -- final assessment questions were not always carefully worded nor proofread.
About the AI in Healthcare Specialization
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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