courseraАнализ данных

Clinical Decision Support Systems

Курс от University of Glasgow

Средний≈ 8.3 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Responsible AI Machine Learning Model Evaluation Decision Support Systems Statistical Machine Learning Health Equity Healthcare Ethics Information Privacy Decision Intelligence Machine Learning Methods Human Centered Design Medical Privacy AI Security Data Loss Prevention Predictive Modeling Deep Learning Federated Learning Data Ethics

Программа курса

4 модулей · 36 учебных материалов

01From machine learning models to clinical decision support systems10 материалов

Welcome to 'From machine learning models to clinical decision support systems'

Welcome: From machine learning models to clinical decision support systemsВидео Stay connected with UofG OnlineЧтение

A Guide to Model Validation in CDSS

From Reproducibility to GeneralisabilityВидео An ABCD guide for prediction model validation in clinical settings

Clinical Decision Support Systems

О курсе

Навыки, которые вы освоите

Программа курса

Welcome to 'From machine learning models to clinical decision support systems'

A Guide to Model Validation in CDSS

Учитесь у экспертов

Fani Deligianni

Calibration in Clinical Prediction Models

Calibration in Deep Learning Models

End of Week 1

Assessment of Risk of Bias in Clinical Studies

'Unfairness' in state-of-the-art machine learning models

Strategies to ensure 'fairness' in machine learning models

End of Week 2

Decision Curve Analysis

Ethics in Artificial Intelligence and Clinical Decision Support Systems

Explainability as a central component of Human-Centered CDSS

End of week 3

Leakage and privacy concerns of deep learning models

Federated Learning and defences against privacy attacks

Adversarial attacks against explanations

End of week 4

Clinical Decision Support Systems