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
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Introduction to Clinical Data
This course is part of AI in Healthcare Specialization
Instructors: Nigam Shah
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Beginner level
No prior experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
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
- Responsible AI
- Text Mining
- Data Ethics
- Electronic Medical Record
- Data Mining
- Clinical Research
- Data Transformation
- Healthcare Ethics
- Clinical Data Management
- Health Information Management
- Clinical Research Ethics
- Data Preprocessing
- Unstructured Data
- Health Disparities
- Data Collection
- Health Informatics
- Feature Engineering
- Medical Imaging
- Data Wrangling
Details to know
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Assessments
20 assignments
Taught in English
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This course is part of the AI in Healthcare Specialization
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