University of Glasgow - Clinical Decision Support Systems - CDSS 4
- Offered byCoursera
Clinical Decision Support Systems - CDSS 4 at Coursera Overview
Duration | 8 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Clinical Decision Support Systems - CDSS 4 at Coursera Highlights
- Earn a Certificate upon completion University of Glasgow
Clinical Decision Support Systems - CDSS 4 at Coursera Course details
- 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
Clinical Decision Support Systems - CDSS 4 at Coursera Curriculum
From machine learning models to clinical decision support systems
Welcome: From machine learning models to clinical decision support systems
From Reproducibility to Generalisability
A Guide to Model Validation in Clinical Decision Support Systems
Calibration of Deep Learning Models
An ABCD guide for prediction model validation in clinical settings
Calibration: the Achilles heel of predictive analytics
Bias assessment in Deep Learning Models
End of week 1 Quiz
'Fairness' in Machine Learning Models
Assessment of the Risk of Bias in EHR
Fairness in Machine Learning for Healthcare Applications (Part 1)
Fairness in Machine Learning for Healthcare Applications (Part 2)
PROBAST: A Tool to Assess the Risk of Bias
Big Data's Disparate Impact
Ensuring Fairness in Machine Learning to Advance Health Equity
End of week 2 Quiz
Decision Curve Analysis and Human-Centered CDSS
Decision Curve Analysis
Human-Centered Clinical Decision Support Systems
Evaluation of Explainability Models
A Guide to Interpreting Decision Curve Analysis
A Roadmap Toward Transparent Expert Companions
The role of explainability in creating trustworthy artificial intelligence for health care
End of week 3 Quiz
Privacy Concerns in CDSS
Privacy Concerns in CDSS
Defences Against Inference Attacks
Adversarial Attacks - Explainability
Leakage and Privacy at Inference Time
Secure, privacy-preserving and federated machine learning
Explanations can be manipulated
End of week 4 Quiz
End of course summative quiz
Clinical Decision Support Systems - CDSS 4 at Coursera Admission Process
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