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Last updated:

September 28, 2022


Unlimited Duration


This course includes:

Unlimited Duration

Badge on Completion

Certificate of completion

Unlimited Duration


This course presents the main concepts of decision analysis, artificial intelligence and predictive model construction and evaluation in the specific context of medical applications.

It emphasizes the advantages and disadvantages of using these methods in real-world systems and provides hands-on experience. Its technical focus is on decision support, knowledge-based systems (qualitative and quantitative), learning systems (including logistic regression, classification trees, neural networks, rough sets), and techniques to evaluate the performance of such systems. It reviews computer-based diagnosis, planning and monitoring of therapeutic interventions. It also discusses implemented medical applications and the software tools used in their construction. Students produce a final project using the machine learning methods learned in the course, based on actual clinical data.

Course Curriculum

  • Introduction to Medical Decision Support Unlimited
  • Simple Probabilistic Reasoning Unlimited
  • Fuzzy & Rough Sets – Part 1 Unlimited
  • Fuzzy & Rough Sets – Part 2 Unlimited
  • Bayesian Networks – Part 1: Representation & Reasoning Unlimited
  • Bayesian Networks – Part 2: Learning From Data Unlimited
  • Logistic Regression – Part 1 Unlimited
  • Logistic Regression – Part 2 Unlimited
  • Classification Trees & CART Unlimited
  • Artificial Neural Networks Unlimited
  • Support Vector Machines Unlimited
  • Evaluation of Predictive Models – Part 1 Unlimited
  • Evaluation of Predictive Models – Part 2 Unlimited
  • Optimization and Complexity Unlimited
  • Survival Analysis Unlimited
  • Review of Predictive Methods Unlimited
  • Applied Informatics in Cardiology Unlimited
  • Review of Clustering Unlimited

About the instructor

5 5

Instructor Rating







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Massachusetts Institute of Technology