Medical Decision Support's Full Profile
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.Prof. Stephan DreiseitlProf. Ju Jan KimProf. Bill LongProf. Marco RamoniProf. Fred ResnicProf. David Wypij
Feb 01, 2003
to May 25, 2003
Days of the Week:
Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
- Level of Difficulty: Beginner
- Size: Massive Open Online Course
- Instructors: Prof. Staal Vinterbo, Prof. Peter Szolovits, Prof. Lucila Ohno-Machado, Prof. Isaac Kohane
- Cost: Free
- Institution: MIT OCW
- Topics: Artificial Intelligence, Machine Learning
About MIT OCW:
MIT OpenCourseWare (OCW) is a web-based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.
MIT OCW Offers Courses In:
Questions about Medical Decision Support
Want more info about Medical Decision Support?
Get free advice from education experts and Noodle community members.
MIT OpenCourseWare (MIT OCW) is an initiative of the Massachusetts Institute of Technology (MIT) to put all of the educational materials from its undergraduate- and graduate-level courses online, partly free and openly available to anyone, anywhere.