Next: About this document Up: No Title Previous: Summary

References

1
S. K. Andersen, K. G. Olesen, F. V. Jensen, and F. Jensen: 1988, ``HUGIN - A Shell for Building Bayesian Belief Universes for Expert Systems,'' Eleventh International Joint Conference on Artificial Intelligence, pp 1080-1085.

2
Coleman, T. G. and Randall, J. E.: 1983, ``HUMAN: A Comprehensive Physiological Model,'' The Physiologist, 26: 15-21.

3
Cooper, G. F.: 1987, ``Probabilistic Inference Using Belief Networks is NP-Hard,'' Tech Report KSL-87-27, Knowledge Systems Laboratory, Stanford University.

4
deKleer, J. and Williams, B. C.: 1987, ``Diagnosing Multiple Faults,'' Artificial Intelligence 32: 97-130.

5
Giuffrida, G., et al: 1979, ``Hemodynamic Response to Exercise After Propranolol in Patients With Mitral Stenosis,'' The American Journal of Cardiology, 44:1076-1082.

6
Gorlin, R. and Dexter, L.: 1952, ``Hydraulic Formula for Calculation of the Cross-Sectional Area of the Mitral Valve During Regurgitation,'' American Heart Journal, 42: 188.

7
Gorlin, R. and Gorlin, G.: 1951, ``Hydraulic Formula for Calculation of Area of Stenotic Mitral Valve, Other Cardiac Values and Central Circulatory Shunts,'' American Heart Journal, 41: 1.

8
Kolodner, J. L.: 1983, ``Maintaining Organization in a Dynamic Long-Term Memory,'' Cognitive Science, 7: 243-280.

9
Koton, P. A.: 1988, ``A Medical Reasoning Program that Improves with Experience,'' Symposium on Computer Applications in Medical Care Conference, pp. 32-37.

10
Koton, P. A.: 1988, Using Experience in Learning and Problem Solving, MIT PHD Thesis.

11
Lauritzen, S. L. and Spiegelhalter, D. J.: 1988, ``Local Computations with Probabilities on Graphical Structures and their Application to Expert Systems,'' Journal of the Royal Statistical Society B 50: 157-224.

12
Long, W.: 1989, ``Medical Diagnosis Using a Probabilistic Causal Network,'' Applied Artificial Intelligence,2:283-299.

13
Long, W. J., Naimi, S., Criscitiello, M. G., and Jayes, R.: 1986, ``Using a Physiological Model for Prediction of Therapy Effects in Heart Disease,'' 1986 Computers in Cardiology Conference, pp 15-20.

14
Long, W. J., Naimi, S., Criscitiello, M. G., and Kurzrok, S.: 1986, ``Reasoning About Therapy from a Physiological Model,'' Proceedings of the Fifth Congress on Medical Informatics, pp 756-760.

15
Long, W. J., Naimi, S., Criscitiello, M. G., and Larsen, G.: 1988, ``Differential Diagnosis Generation from a Causal Network with Probabilities,'' 1988 Computers in Cardiology Conference, pp. 185-188.

16
Long, W. J., Naimi, S., Criscitiello, M. G., Pauker, S. G., and Szolovits, P.: 1984, ``An Aid to Physiological Reasoning in the Management of Cardiovascular Disease,'' 1984 Computers in Cardiology Conference, pp. 3-6.

17
Mason, S. J.: 1956, ``Feedback Theory - Further Properties of Signal Graphs,'' Proceedings of the IRE, 44: 920-926.

18
McAllester, D. A.: 1982, ``Reasoning Utility Package User's Manual, Version One,'' MIT/AIM-667, Massachusetts Institute of Technology.

19
Pearl, J.: 1986, ``Fusion, Propagation, and Structuring in Bayesian Networks,'' Artificial Intelligence, 29: 241-288.

20
Reggia, J. A., Nau, J. S., and Wang, Y.: 1983, ``Diagnostic Expert Systems Based on a Set Covering Model,'' International Journal of Man-Machine Studies 19: 437-460.

21
Reiter, R.: 1987, ``A Theory of Diagnosis From First Principles,'' Artificial Intelligence 32: 57-95.

Figure legends

Figure 1: Overview of Heart Failure Operators and Data Structures

Figure 2: Congestive Cardiomyopathy and Renal Insufficiency Hypothesis

Figure 3: Prediction for Mitral Stenosis with Exercise


wjl@MEDG.lcs.mit.edu
Sat Nov 4 10:36:18 EST 1995