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Informed Clinical Decision Making using Deep Learning

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Apply Deep Learning in Electronic Health Records

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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From University of Glasgow via Coursera
Hours 81
Instructor Fani Deligianni
Language English
Subjects Science Data Science Programming

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Learning Services $59k

Computer Vision, Deep Learning Engineer $67k

Computer Vision & Deep Learning Engineer $67k

Deep Clean Sales Specialist $76k

Deep clean specialist $76k

Deep Learning Research Scientist $86k

Deep Learning Research Engineer $88k

Research Scientist - Deep Learning $91k

Senior Learning Specialist, Learning and Development $102k

Deep Learning R&D Engineer $127k

Learning Assitant $142k

Deep Submergence Systems Program Manager $157k

Courses in this Specialization

Listed in the order in which they should be taken

Starts Course Information

Jun
26

Data mining of Clinical Databases - CDSS 1

This course will introduce MIMIC-III, which is the largest publicly Electronic Health Record (EHR) database available to benchmark machine learning algorithms. In particular, you...

Coursera | University of Glasgow

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Jun
26

Deep learning in Electronic Health Records - CDSS 2

Overview of the main principles of Deep Learning along with common architectures. Formulate the problem for time-series classification and apply it to vital signals such as ECG....

Coursera | University of Glasgow

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Jun
26

Explainable deep learning models for healthcare - CDSS 3

This course will introduce the concepts of interpretability and explainability in machine learning applications. The learner will understand the difference between global, local,...

Coursera | University of Glasgow

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Jun
26

Clinical Decision Support Systems - CDSS 4

Machine learning systems used in Clinical Decision Support Systems (CDSS) require further external validation, calibration analysis, assessment of bias and fairness. In this...

Coursera | University of Glasgow

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Jun
26

Capstone Assignment - CDSS 5

This course is a capstone assignment requiring you to apply the knowledge and skill you have learnt throughout the specialization. In this course you will choose one of the areas...

Coursera | University of Glasgow

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University of Glasgow

From University of Glasgow via Coursera
Hours 81
Instructor Fani Deligianni
Language English
Subjects Science Data Science Programming

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Learning Services $59k

Computer Vision, Deep Learning Engineer $67k

Computer Vision & Deep Learning Engineer $67k

Deep Clean Sales Specialist $76k

Deep clean specialist $76k

Deep Learning Research Scientist $86k

Deep Learning Research Engineer $88k

Research Scientist - Deep Learning $91k

Senior Learning Specialist, Learning and Development $102k

Deep Learning R&D Engineer $127k

Learning Assitant $142k

Deep Submergence Systems Program Manager $157k

Similar Courses

Sorted by relevance