HST.947 Artificial Intelligence in Medicine
Spring 2006
image restricted to class participants
For their term project in 2005, 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: Lucila Ohno-Machado
Session: W1-2 (32-250)
This is the HST graduate version of 6.034:
The 6.034 web site is http://courses.csail.mit.edu/6.034/
This course provides an intensive introduction to artificial intelligence and its applications to problems in biomedicine such as phylogenetic tree reconstruction, medical diagnosis, prognosis, unsupervised and supervised 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.
Announcements
Readings for 2/15
Please check "Materials" for 2 readings.Announced on 10 February 2006 9:51 p.m. by Lucila Ohno-Machado
