Engineering and Applied Sciences >> Biomedical Engineering

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Course Info

  • Course Number / Code:
  • HST.951J (Spring 2003) 
  • Course Title:
  • Medical Decision Support 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Health Sciences and Technology 
  • Course Instructor(s):
  • Prof. Lucila Ohno-Machado
    Prof. Isaac Kohane
    Prof. Peter Szolovits
    Prof. Staal Vinterbo

    Guest Lecturers:
    Prof. Stephan Dreiseitl
    Prof. Ju Jan Kim
    Prof. Bill Long
    Prof. Marco Ramoni
    Prof. Fred Resnic
    Prof. Dav 

  • Course Introduction:

  • HST.951J / 6.873J Medical Decision Support

    Spring 2003

    Course Highlights

    In addition to sample exams, a number of lecture notes and homework assignments are available for this course.

    Course Description

    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.

    *Some translations represent previous versions of courses.


This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.

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