Machine learning systems used in Clinical Decision Support Systems (CDSS) require further external validation, calibration analysis, assessment of bias and fairness. In this course, the main concepts of machine learning evaluation adopted in CDSS will be explained. Furthermore, decision curve analysis along with human-centred CDSS that need to be explainable will be discussed. Finally, privacy concerns of deep learning models and potential adversarial attacks will be presented along with the vision for a new generation of explainable and privacy-preserved CDSS.
This course is part of the Informed Clinical Decision Making using Deep Learning Specialization
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About this Course
Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 4 of 5 in the
Intermediate Level
Approx. 8 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Evaluating Clinical Decision Support Systems
Bias, Calibration and Fairness in Machine Learning Models
Decision Curve Analysis and Human-Centred Clinical Decision Support Systems
Privacy concerns in Clinical Decision Support Systems
Skills you will gain
- Calibration in machine learning models
- Human-centred clinical decision support systems
- Privacy concerns in clinical decision support systems
- Bias and fairness in machine learning models
- clinical decision support systems
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 4 of 5 in the
Intermediate Level
Approx. 8 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
2 hours to complete
From machine learning models to clinical decision support systems
2 hours to complete
4 videos (Total 52 min), 3 readings, 1 quiz
2 hours to complete
'Fairness' in Machine Learning Models
2 hours to complete
3 videos (Total 48 min), 3 readings, 1 quiz
2 hours to complete
Decision Curve Analysis and Human-Centered CDSS
2 hours to complete
3 videos (Total 39 min), 3 readings, 1 quiz
2 hours to complete
Privacy Concerns in CDSS
2 hours to complete
3 videos (Total 41 min), 3 readings, 2 quizzes
About the Informed Clinical Decision Making using Deep Learning Specialization

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