Artificial Intelligence in Medicine
Volume 38, Issue 2 , Pages 197-218 , October 2006

Fuzzy theory approach for temporal model-based diagnosis: An application to medical domains

Received 20 December 2004 ,Revised 28 March 2006 ,Accepted 29 March 2006.

References 

  1. Torasso P. Multiple representations and multi-modal reasoning in medical diagnostic systems. Artif Intell Med. 2001;23:46–69
  2. Hamscher W, Console L, de Kleer J. Readings in model-based diagnosis. San Mateo: Morgan Kauffman; 1992;
  3. Brusoni V, Console L, Terenziani P, Dupré DT. A spectrum of definitions for temporal model-based diagnosis. Artif Intell. 1998;102:39–79
  4. Horn , Werner . AI in medicine on its ways from knowledge-intensive systems to data-intensive systems. Artif Intell Med. 2001;23:5–12
  5. Long W. Temporal reasoning for diagnosis in causal probabilistic knowledge base. Artif Intell Med. 1996;8:193–215
  6. Gamper J, Nejdl W. Abstract temporal diagnosis in medical domains. Artif Intell Med. 1997;10(3):1116–1122
  7. Friedrich G, Stumptner M, Wotawa F. Model-based diagnosis of hardware designs. Artif Intell. 1999;111(1/2):3–39
  8. Allen JF. Maintaining knowledge about temporal intervals. Commun ACM. 1983;26:832–843
  9. Console L, Torasso P. On co-operation between abductive and temporal reasoning in medical diagnosis. Artif Intell Med. 1991;3:291–311
  10. Dojat M, Ramaux N, Fontaine D. Scenario recognition for temporal reasoning in medical domains. Artif Intell Med. 1998;14:139–155
  11. Mosterman PieterJ, Biswas Gautam. Diagnosis of continuous valued systems in transient operating regions. IEEE Trans Syst Man Cybernet Part A. 1999;29(6):554–565
  12. Portinale L, Magro D, Torasso P. Multi-modal diagnosis combining case-based and model-based reasoning: a formal and experimental analysis. Artif Intell. 2004;158(2):109–153
  13. Sackett DavidL, Richardson W Scott, Rosenberg William, Haynes R Brian. Evidence-based medicine. How to practice and teach EBM. New York: Churchill Livingston; 1997;
  14. Dubois D, Prade H. Possibilistic theory: an approach to computerized processing of uncertainty. New York: Plenum Press; 1988;
  15. Barro S, Marín R, Mira J, Patón AR. A model and a language for the fuzzy representation and handling of time. Fuzzy Set Syst. 1994;61:153–175
  16. Marín R, Cárdenas MA, Balsa M, Sánchez JL. Obtaining solutions in fuzzy constraint networks.. Int J Approx Reason. 1996;3/4:261–288
  17. Campos M, Cárceles A, Palma J, Mar ín R. A general purporse fuzzy temporal information management engine. In:  Homayoun Behrouz,  Shafazand M Hassan,  Takizawa Makoto,  Wagner Roland editor. Proceedings of the EurAsia-ICT 2002. Advances in information and communication technology. Austria: Autrian Computer Society; 2002;p. 93–97
  18. Kautz H, Ladkin P. Integrating metric and qualitative temporal reasoning. In: Proceedings of the AAAI-91. California, USA: AAAI Press/MIT Press; 1991;p. 241–246
  19. Marín R, Barro S, Palacios F, Ruiz R, Martín F. An approach to fuzzy temporal reasoninng in medicine. Mathware Soft Comput. 1994;3:265–276
  20. Meiri I. Combining qualitative and quantitative constraints in temporal reasoning. Artif Intell. 1996;87(1/2):343–385
  21. van Beek P. Temporal query processing with indefinite information. Artif Intell Med. 1991;3:325–339
  22. Vila L, Godo L. On fuzzy temporal constraint networks. Mathware Soft Comput. 1994;3:315–334
  23. Miller RA, Pople HE, Myers JD. New Engl J Med. Internist-1: an expermiental computer-based diagnostic consultant for general internal medicine. 1982;307(8):468–476
  24. Palma J, Marín R. Modelling contextual meta-knowledge in model based diagnosis. In:  Frank vanHarmelen editors. Proceedings of the 15th Eureopean conference on artificial intelligence, ECAI’2002. Amsterdam: Elsewier; 2002;p. 407–411
  25. Eshelman L. MOLE: A knowledge-acquisition tool for cover-and-differentiate systems. In:  Marcus S editors. Automating knowledge acquisition for expert systems. Boston: Kluwer; 1988;p. 37–80
  26. McDermott J. Toward a taxonomoy of problem solving methods. In:  Marcus S editors. Automating knowledge acquisition for expert systems.. Boston: Kluwer Academic; 1988;
  27. Brusoni V, Console L, Terenziani P. On the computational complexity of querying bounds on differences constraints. Artif Intell. 1995;74(2):367–379
  28. Palma J, Llamas B, González A, Menárguez M. Acquisition and representation of causal and temporal knowledge in medical domains. In:  Palade Vasile,  Howlett RobertJ,  Jain LakhmiC editor. Proceedigns of the 7th conference on knowledge-based intelligent information and engineering systems, KES 2003, Part II, number 2774 in LNCS. Heidelberg, Berlin: Springer; 2003;p. 1284–1290
  29. Palma J, Menárguez M, Campos M, Morales A. From knowledge bases to organizational memories: experience in medical domains. In:  Dieng-Kuntz R,  Matta N editor. Proceedings of the workhop on knowledge management and organizational memories (ECAI’2004). 2004;p. 61–72
  30. Palma J, Juárez JM, Campos M, Marín R. A fuzzy approach to temporal model-based diagnosis for intensive care units. In:  López de Mántaras Ramón,  Saitta Lorenza editor. Proceedings of the 16th Eureopean conference on artificial intelligence, ECAI’2004. The Netherlands: IOS Press Amsterdam; 2004;p. 868–872
  31. Friedrich G, Nejdl W. MOMO- model-based diagnosis for everybody. In: IEEE Computer Society  editors. Proceedings of the 6th conference on artificial intelligence applications. CA: IEEE Press Los Alamitos; 1990;
  32. Console L, Protinale L, Dupré DT. Using compiled knowledge to guide focus abductive diagnosis. IEEE Trans Knowledge Data Eng. 1996;8(5):690–706
  33. Wainer Jacques, de Melo Rezende Alexandre. A temporal extension to the parsimonious covering theorym. Artif Intell Med. 1997;10(3):235–255
  34. Wainer Jacques, Sandri Sandra. Fuzzy temporal/categorical information in diagnosis. J Intell Inform Syst. 1999;13(1/2):9–26
  35. Dojat M, Sayettat C. Realistic model for temporal reasoning in real-time patient monitoring. Appl Artif Intell. 1996;10:121–143
  36. Cauvin S, Cordier MO, Dousson C, Laborie P, Levy F, Montmain J. Monitoring and alarm interpretation in industrial environments. AI Commun. 2000;11(3/4):139–173
  37. Cordier MO, Dousson C. Alarma driven monitoring based on chornicles. In:  Edelmayer AM,  Banyasz Cs editor. Proceedings of the 4th IFAC symposium on fault detection, supervision and safety for technical processes, SAFEPROCESS 2000. Amsterdam, The Netherlands: Elsevier; 2000;p. 268–291
  38. Dousson C, Gaborit P, Ghallab M. Situation recognitiong: representation and algorithms. In:  Bajcsy Ruzena editors. Proceedings of the 13th international joint conference on artificial intelligence, IJCAI. USA: Morgan Kaufmann San Francisco; 1993;p. 166–174
  39. Fox John, Glasspool David, Bury Jonathan. Quantitative and qualitative approaches to reasoning under uncertainty in medical decision making. In: Proceedings of the 8th artificial intelligence medicine conference on AI in medicine in Europe, AIME 2001, vol. 2101 of LNCS. Springer–Verlag; 2001;p. 272–282

PII: S0933-3657(06)00051-0

doi: 10.1016/j.artmed.2006.03.004

Artificial Intelligence in Medicine
Volume 38, Issue 2 , Pages 197-218 , October 2006