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This specialisation is for learners with experience in programming that are interested in expanding their skills in applying deep learning in Electronic Health Records and with a focus on how to translate their models into Clinical Decision Support Systems.The main areas that would explore are:Data mining of Clinical Databases: Ethics, MIMIC III database, International Classification of Disease System and definition of common clinical outcomes. Deep learning in Electronic Health Records: From descriptive analytics to predictive analytics Explainable deep learning models for healthcare applications: What it is and why it is needed Clinical Decision Support Systems: Generalisation, bias, ‘fairness’, clinical usefulness and privacy of artificial intelligence algorithms.
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Course 1: Data mining of Clinical Databases - CDSS 1
- Offered by University of Glasgow . This course will introduce MIMIC-III, which is the largest publicly Electronic Health Record (EHR) ... Enroll for free.
Course 2: Deep learning in Electronic Health Records - CDSS 2
- Offered by University of Glasgow . Overview of the main principles of Deep Learning along with common architectures. Formulate the problem ... Enroll for free.
Course 3: Explainable deep learning models for healthcare - CDSS 3
- Offered by University of Glasgow . This course will introduce the concepts of interpretability and explainability in machine learning ... Enroll for free.
Course 4: Clinical Decision Support Systems - CDSS 4
- Offered by University of Glasgow . Machine learning systems used in Clinical Decision Support Systems (CDSS) require further external ... Enroll for free.
Course 5: Capstone Assignment - CDSS 5
- Offered by University of Glasgow . This course is a capstone assignment requiring you to apply the knowledge and skill you have learnt ... Enroll for free.
