A temporal extension to the parsimonious covering theory

Artificial Intelligence in Medicine

Volumn 10, Issue 3, 1997, Pages 235-255

  Wainer, Jacques ^a   De Melo Rezende, Alexandre ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Automated medical diagnosis; Parsimonious cover theory; Temporal abductive diagnosis; Temporal reasoning

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS; MEDICINE; PROBLEM SOLVING;

AUTOMATED MEDICAL DIAGNOSIS; PARSIMONIOUS COVERING THEORY; TEMPORAL ABDUCTIVE DIAGNOSIS; TEMPORAL EXTENSION; TEMPORAL REASONING;

SYSTEM THEORY;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; MEDICAL DECISION MAKING; PRIORITY JOURNAL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; FOOD CONTAMINATION; FOOD POISONING; HUMANS; MODELS, THEORETICAL;

EID: 0031194411     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(97)00394-1     Document Type: Article

References (18)

1. R. Berkow, eds., The Merk Manual (Merk and Co, 16th edition, 1992).
2. L. Console and P. Torasso, On the co-operation between abductive and temporal reasoning in medical diagnosis, An. Intell. Med. 3 (1991) 291-311.
3. L. Console and P. Torasso, Temporal constraint satisfaction on causal models, Information Sci. 68 (1993) 1-32.
4. C. Dousson, P. Gaborit and M. Ghallab, Situation recognition: representation and algorithms, Proc. of the 13th NCAI, (1993) 166-172.
5. I. Hamlet and J. Hunter, A representation of time for medical expert systems, in: J. Fox, M. Fieschi and R. Engelbrecht, eds., Lecture Notes in Med. Informatics, vol 33 (Springer-Verlag, 1987) 112-119.
6. K. Konolige, Abduction versus closure in causal theories, An. Intell. 53 (1992) 255-272.
7. L. Console, D.T. Dupre and P. Torasso, A theory of diagnosis for incomplete causal models, in: Proceedings of the 10th WCAI (1989) 1311-1317.
8. W. Long, Reasoning about state from causation and time in a medical domain, in: Proc. of the AAAI 83, 1983.
9. P. Lucas, Modelling interactions for diagnosis, in: Proceedings of CESA'96 IMACS Multiconference: Symposium on Modelling, Analysis and Simulation 1, (1996) 541-546.
10. G.L. Mandell, R.G. Douglas and J.E. Bennett, eds., Principles and practice of infectious diseases. Churchill Livingstone, 4rd edition, 1995.
11. R.S. Patil, Causal representation of patient illness for electrolyte and acid-base diagnosis, Technical report, MIT Laboratory for Computer Science, 1981.
12. Y. Peng and J.A. Reggia, Abductive Inference Models for Diagnostic Problem Solving (Springer-Verlag, 1990).
13. D. Poole, Representing diagnostic knowledge for probabilistic Horn abduction, in: Proc of the 12th IJCAI, (1991) 1129-1135.
14. J. Reggia, D. Nau, P. Wang and Y. Peng, A formal model of diagnostic inference, Information Sciences 37 (1985) 227-285.
15. E. Shortliffe, Computer Based Medical Consultation: MYCIN (Elsevier, 1976).
16. P. Torasso and L. Console, Diagnostic Problem Solving: Combining Heuristic Approximate and Causal Reasoning (Van Nostrand Reinhold, New York, 1989).
17. S. Tuhrim, J. Reggia and S. Goodal, An experimental study of criteria for hypothesis plausibility, J. of Experimental and Theoretical Artificial Intelligence 3 (1991) 129-144.
18. S. Weiss and C. Kulikowski, Glaucoma consultation by computers, Comp. Biol. Med. 8 (1978) 25-40.