We may earn an affiliate commission when you visit our partners.

Informed Clinical Decision Making using Deep Learning

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.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Help others find Specialization from Coursera by sharing it with your friends and followers:

Facebook

Copy Link

What's inside

Five courses

Data mining of Clinical Databases - CDSS 1

(0 hours)

This course introduces MIMIC-III, the largest publicly available EHR database. You will learn about its design, query tools, and how to extract and visualize descriptive analytics. Understanding the schema and ICD coding is crucial for mapping research questions to data and extracting key clinical outcomes for developing clinically useful machine learning algorithms.

View more details for this course

Deep learning in Electronic Health Records - CDSS 2

(0 hours)

Overview of Deep Learning principles and architectures. Formulate time-series classification problems for vital signals like ECG. Apply these methods to Electronic Health Records, addressing missing values and heterogeneity. Explore imputation techniques and encoding strategies. Formulate clinical prediction benchmarks from MIMIC-III data.

View more details for this course

Explainable deep learning models for healthcare - CDSS 3

(0 hours)

This course introduces interpretability and explainability in machine learning applications. Learners will understand global, local, model-agnostic, and model-specific explanations. State-of-the-art explainability methods such as Permutation Feature Importance (PFI), Local Interpretable Model-agnostic Explanations (LIME), and SHapley Additive exPlanation (SHAP) are explained and applied in time-series classification.

View more details for this course

Clinical Decision Support Systems - CDSS 4

(0 hours)

Machine learning systems in Clinical Decision Support Systems (CDSS) require external validation, calibration analysis, and bias and fairness assessment. This course covers machine learning evaluation concepts used in CDSS, decision curve analysis, and human-centered CDSS design. It also addresses privacy concerns and adversarial attacks in deep learning models, and explores the future of explainable and privacy-preserved CDSS.

View more details for this course

Capstone Assignment - CDSS 5

This capstone assignment requires you to apply the knowledge and skills you have learned throughout the specialization. You will choose one of the areas and complete the assignment to pass.

View more details for this course

Learning objectives

Extract and preprocess data from complex clinical databases
Apply deep learning in electronic health records

Imputation of electronic health records and data encodings
Explainable, fair and privacy-preserved clinical decision support systems

Extract and preprocess data from complex clinical databases
Apply deep learning in electronic health records
Imputation of electronic health records and data encodings
Explainable, fair and privacy-preserved clinical decision support systems

Save this collection

Save Informed Clinical Decision Making using Deep Learning to your list so you can find it easily later:

Save

Time

1 hours

Level

Intermediate

Via

Coursera

Institution

University of Glasgow

Instructor

Fani Deligianni

Level

Intermediate

Share Specialization from Coursera

Facebook

Link

Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.