Informed Clinical Decision Making using Deep Learning Specialization

Apply Deep Learning in Electronic Health Records. Understand the road path from data mining of clinical databases to clinical decision support systems

Instructor: Fani Deligianni

What you'll learn

  •   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

    • Skills you'll gain

  •   Image Analysis
  •   Predictive Analytics
  •   Descriptive Analytics
  •   Applied Machine Learning
  •   Electocardiography
  •   Database Design
  •   Machine Learning
  •   Machine Learning Methods
  •   Deep Learning
  •   Precision Medicine
  •   Electronic Medical Record
  •   Data Ethics

    • Specialization - 5 course series

    GradCam is implemented and applied on an LSTM model that predicts mortality. The explanations derived are local explanations of the model.

    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 and complete the assignment to pass.

    Deep learning in Electronic Health Records - CDSS 2

    Explainable deep learning models for healthcare - CDSS 3

    Clinical Decision Support Systems - CDSS 4

    Capstone Assignment - CDSS 5

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