Representing and developing temporally abstracted knowledge as a means towards facilitating time modeling in medical decision-support systems

Computers in Biology and Medicine

Volumn 27, Issue 5, 1997, Pages 411-434

  Aliferis, C F ^a   Cooper, G F ^a   Pollack, M E ^a   Buchanan, B G ^a   Wagner, M M ^a  

^a Forbes Tower   (United States)

Author keywords

Belief networks; Medical decision support systems; Temporal abstraction; Temporal reasoning; Temporal representation

Indexed keywords

ARTIFICIAL INTELLIGENCE; MEDICAL DECISION MAKING; MODEL; PRIORITY JOURNAL; REVIEW; STIMULUS RESPONSE; TIME;

EID: 0030724938     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4825(97)00013-9     Document Type: Article

References (28)

1. C.F. Aliferis, G.F. Cooper, R.A. Miller, B.G. Buchanan, R. Bankowitz and N. Giuse, A temporal analysis of QMR, J. Am. Med. Inform. Ass., 3, 79-91 (1996).
2. M.G. Kahn, Modeling time in medical decision-support programs, Med. Dec. Making, 11, 249-264 (1991).
3. G.F. Cooper, NESTOR: A computer-based medical diagnostic aid that integrates causal and probabilistic knowledge. Doctoral dissertation, Stanford University (1984).
4. Y. Shoham, Temporal logics in AI: Semantical and ontological considerations, Artif. Intell., 33, 89-104 (1987).
5. A. Galton, A critical examination of Allen's theory of action and time, Artif. Intell.,42, 159-188 (1990).
6. A. Afifi and V. Clark, Computer-aided Multivariate Analysis, 3rd ed. Chapman and Hall, London (1996).
7. R.E. Neapolitan, Probabilistic Reasoning in Expert Systems. Wiley, New York (1990).
8. Y. Shahar, A knowledge-based method for temporal abstraction of clinical data. Doctoral dissertation, Stanford University (1994).
9. R.A. Miller, H.E. Pople and J.D. Myers, INTERNIST-I, an experimental computer-based diagnostic consultant for general internal medicine, N. Engl. J. Med., 307, 468-476 (1982).
10. J.B. Wyngaarden and L.A. Smith (editors), Cecil Textbook of Medicine. W.B. Saunders, Philadelphia (1988).
11. C.F. Aliferis and G.F. Cooper, A new formalism for time modeling in medical decision-support systems. In Proceedings of 19th Annual Symposium on Computer Applications in Medical Care (1995).
12. C. Berzuini, R. Bellazi, S. Quaglini and D.J. Spiegelhalter, Bayesian networks for patient monitoring, Artif. Intell. Med., 4, 243-260 (1992).
13. P. Dagum and A. Galper, Forecasting sleep apnea with dynamic network models. In Proceedings of Uncertainty in Artificial Intelligence (1993).
14. K. Kanazawa, A logic and time nets for probabilistic inference. In Proceedings of the American Association for Artificial Intelligence (1991).
15. J.X. Polaschek, G.W. Rutledge, S.K.Andersen and L.M. Fagan, Using belief networks to interpret qualitative data in the ICU, Respiratory Care, 38, 60-71 (1993).
16. G. Provan, Tradeoffs in constructing and evaluating temporal influence diagrams. In Proceedings of Uncertainty in Artificial Intelligence (1993).
17. I.J. Haimowitz and I.S. Kohane, Automated trend detection with alternate temporal hypotheses. In Proceedings of the 13th International Joint Conference on Artificial Intelligence (1993).
18. I.M. De Zegher-Geets, A.G. Freeman, M.G. Walker, R.L. Blum and G. Wiederhold, Summarization and display of on-line medical records, M.D. Computing, 5, 38-46 (1988).
19. R.S. Michalski, J.G. Carbonell and T.M. Mitchell, Machine Learning. Morgan Kaufmann, Palo Alto, CA (1983).
20. J. Hertz, A. Krogh and R.G. Palmer, Introduction to the Theory of Neural Computation. Addison-Wesley, Redwood City, CA (1991).
21. B. Chandrasekaran, J.W. Smith and J. Sticklen, "Deep" models and their relation to diagnosis, Artif. Intell. Med., 1, 29-40 (1989).
22. M.P. Wellman and C.-L. Liu, State-space abstraction for anytime evaluation of probabilistic networks. In Proceedings of Uncertainty in Artificial Intelligence (1994).
23. W.X. Wen, Optimal decomposition of belief networks. In Proceedings of Uncertainty in Artificial Intelligence (1991).
24. M. Baker and T.E. Boult, Pruning Bayesian networks for efficient computation. In Proceedings of Uncertainty in Artificial Intelligence (1991).
25. C. Combi, F. Pinciroli, G. Musazzi and C. Ponti, Managing and displaying different time granularities of clinical information. Proceedings of Annual Symposium of Computer Applications in Medical Care (1994).
26. P. Spirtes, Directed cyclic graphical representations of feedback models. In Proceedings of Uncertainty in Artificial Intelligence (1995).
27. G.F. Cooper, Causal discovery from data in the presence of selection bias. Preliminary papers of the 5th International Workshop on Artificial Intelligence and Statistics (1995).
28. R.L. Graham, D.E. Knuth and O. Patashnik, Concrete Mathematics. Addison-Wesley, Reading, MA (1989).