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
Introduction to Clinical Data
This course is part of AI in Healthcare Specialization
Instructors: Nigam Shah
Access provided by Gov Academy - DGE
39,013 already enrolled
Gain insight into a topic and learn the fundamentals.
505 reviews
Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
97%
Most learners liked this course
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
- Clinical Research
- Data Processing
- Medical Imaging
- Clinical Informatics
- Healthcare Ethics
- Data Mining
- Feature Engineering
- Data Ethics
- Responsible AI
- Health Disparities
- Electronic Medical Record
- Text Mining
- Data Transformation
- Medical Records
- Unstructured Data
- Clinical Data Management
- Health Informatics
- Data Collection
- Data Preprocessing
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
When you enroll in this course, you'll also be enrolled in this Specialization.
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Showing 3 of 505
TL
Reviewed on Dec 31, 2021
Very nice and accessible introduction to clinical data and the associated ethical considerations.
CP
Reviewed on Jul 1, 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.
S
Reviewed on Apr 7, 2024
This course helps me a lot for how to frame clinical research question. How researchers make question
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