Fall term 1999
Instructor: Peter Szolovits, psz@mit.edu, NE43-416, 253-3476.
Secretary: Heather Grove, heather@medg.lcs.mit.edu, NE43-417, 253-5860.
Meets: 6.034 lectures, recitations and tutorials, plus Wednesdays 10-11am in the lounge outside NE43-416.
An intensive introduction to artificial intelligence and its applications to problems of medical diagnosis, therapy selection and monitoring. The class meets with lectures and recitations of 6.034, whose material is supplemented by additional readings and discussion sessions. Students are responsible for completing all homework assignments in 6.034 and for additional problems and/or papers. This class is available for credit only to graduate students in HST. It carries 12 units (5-3-4) of H-LEVEL Graduate Credit.
Below is a schedule of class meetings and the papers that will be discussed at those meetings. (Sometimes we will fall behind this schedule, temporarily.) Papers should be available about a week before the class at the office of the course secretary, Heather Grove, NE43-417.
| Class | Reading Assignments |
|---|---|
| Sept. 22 |
Davis, R., B. G. Buchanan and E. H. Shortliffe (1977). "Production Rules as a Representation for a Knowledge-Based Consultation Program." Artificial Intelligence 8: 15-45. Scott, A. C., W. J. Clancey, R. Davis, et al. (1984). Methods for Generating Explanations. Rule-Based Expert Systems. B. G. Buchanan and E. H. Shortliffe. Reading, MA, Addison-Wesley: 338-362. Wallis, J. W. and E. H. Shortliffe (1984). Customized Explanations Using Causal Knowledge. Rule-Based Expert Systems. B. G. Buchanan and E. H. Shortliffe. Reading, MA, Addison-Wesley: 371-388. |
| Sept. 29 |
Reggia, J. A., D. S. Nau and P. Y. Wang (1983). "Diagnostic expert systems based on a set covering model." International Journal of Man-Machine Studies 19: 437-460. Wu, T. D. (1990). Efficient Diagnosis of Multiple Disorders Based on a Symptom Clustering Approach. Proceedings of AAAI-90: 357-364. Wu, T. D. (1991). Domain Structure and the Complexity of Diagnostic Problem Solving. Proceedings of AAAI-91: 855-861. |
| Oct. 6 |
Continued discussion of set covering and symptom clustering methods of diagnostic reasoning. No new readings. |
| Oct. 13 |
Miller, R. A., H. E. Pople, Jr., and J. D. Myers (1982). "INTERNIST-1, An Experimental Computer-Based Diagnostic Consultant for General Internal Medicine." New England Journal of Medicine 307: 468-476. |
| Oct. 20 |
Pople, H. E., Jr. (1982). Heuristic Methods for Imposing Structure on Ill-Structured Problems: The Structuring of Medical Diagnostics. Artificial Intelligence in Medicine. P. Szolovits. Boulder, Colorado, Westview Press. 119-190. |
| Oct. 26 |
Pauker, S. G., G. A. Gorry, J. P. Kassirer, and W. B. Schwartz (1976). "Toward the Simulation of Clinical Cognition: Taking the Present Illness." American Journal of Medicine 60:1-18. Berner, E. S., G. D. Webster, A. A. Shugerman, et al. (1994) "Performance of Four Computer-Based Diagnostic Systems." New England Journal of Medicine 330. |
| Nov. 3 Bill Long teaching |
S.M. Weiss, C.A. Kulikowski, S. Amarel, A. Safir, "A Model-Based Method for Computer-Aided Medical Decision-Making," Artificial Intelligence 11 (1978), 145-172. W. Long, "Medical Diagnosis Using a Probabilistic Causal Network," Applied Artificial Intelligence 3: 367-383, 1989. W. Long, "Reasoning about State from Causation and Time in a Medical Domain," Proceedings of the National Joint Conference on Artificial Intelligence (AAAI-83), August 22-26, 1983, Washington, DC. W. Long, H. Fraser, S. Naimi, "Reasoning requirements for diagnosis of heart disease," Artificial Intelligence in Medicine 10 (1997) 5-24. |