For their term project, several students explored knowledge acquisition and maintenance principles by reconstructing the popular QMR/Internist I diagnostic consultant tool for general internal medicine. (Courtesy of Jaime Chang, Mark Meyer, and Manu Sondhi. Used with permission.)
Instructor(s)
Prof. Lucila Ohno-Machado
Prof. Peter Szolovits
MIT Course Number
HST.947
As Taught In
Spring 2005
Level
Graduate
Course Description
Course Features
Course Highlights
This course features a reading list that complements the more general 6.034 coverage of Artificial Intelligence topics.
Course Description
This course provides an intensive introduction to artificial intelligence and its applications to problems of medical diagnosis, therapy selection, and monitoring and learning from databases. It meets with lectures and recitations of 6.034 Artificial Intelligence, whose material is supplemented by additional medical-specific readings in a weekly discussion session. Students are responsible for completing all homework assignments in 6.034 and for additional problems and/or papers.
Other Versions
Other OCW Versions
OCW has published multiple versions of this subject. 