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 Kalinga Institute of Industrial Technology
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497 reviews
Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
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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
- Health Care
- Text Mining
- Data Collection
- Health Informatics
- Clinical Research Ethics
- Medical Imaging
- Clinical Data Management
- Data Mining
- Unstructured Data
- Electronic Medical Record
- Clinical Research
- Feature Engineering
- Data Transformation
- Data Ethics
- Data Preprocessing
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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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There are 8 modules in this course
What's included
12 videos2 readings3 assignments
What's included
16 videos3 readings4 assignments1 plugin
What's included
12 videos2 readings3 assignments
What's included
18 videos2 readings3 assignments
What's included
19 videos4 readings3 assignments
What's included
11 videos3 readings3 assignments
What's included
7 videos2 readings
What's included
1 video3 readings1 assignment
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Showing 3 of 497
TL
Reviewed on Dec 31, 2021
Very nice and accessible introduction to clinical data and the associated ethical considerations.
LO
Reviewed on May 31, 2022
Good introductory course, although I must admit I was expecting a little bit a more hands-on approach. Some instructors speak very fast, so I had to keep replaying the video.
KS
Reviewed on Oct 16, 2020
Nicely Framed and Executed in a simple language so anyone can catch up earliest.
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