Timing is everything: Temporal reasoning and temporal data maintenance in medicine

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1620, Issue , 1999, Pages 30-46

  Shahar, Yuval ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL RESEARCH; DATA VISUALIZATION; DECISION MAKING; DECISION SUPPORT SYSTEMS; KNOWLEDGE REPRESENTATION; MAINTENANCE; PATIENT MONITORING; PATIENT TREATMENT; TIME SHARING SYSTEMS; TIMING CIRCUITS;

CLINICAL MANAGEMENT; DATABASE COMMUNITY; INTEGRATION APPROACH; MEDICAL DECISION SUPPORT SYSTEM; MEDICAL INFORMATION; RESEARCH AND DEVELOPMENT; TEMPORAL ABSTRACTION; TEMPORAL GRANULARITY;

MEDICAL INFORMATION SYSTEMS;

EID: 84956860957     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48720-4_3     Document Type: Conference Paper

References (31)

1. Downs, S.M., Walker, M.G., and Blum, R.L.: Automated summarization of on-line medical records. In: Salamon, R., Blum, B., and Jorgensen, M. (eds.): MEDINFO ‘86: Proceedings of the Fifth Conference on Medical Informatics. North-Holland, Amsterdam (1986) 800–804.
2. Keravnou, E.T., and Washbrook, J.: A temporal reasoning framework used in the diagnosis of skeletal dysplasias. Artificial Intelligence in Medicine 2 (1990) 239–265.
3. Musen, M.A., Tu, S.W., Das, A.K., and Shahar, Y.: EON: A component-based approach to automation of protocol-directed therapy. Journal of the American Medical Informatics Association 3(6) (1996) 367–388.
4. Shahar, Y.: Dynamic temporal interpretation contexts for temporal abstraction. Annals of Mathematics and Artificial Intelligence 22(1-2) (1998) 159-192.
5. Shahar, Y., Miksch, S., and Johnson, P.: The Asgaard project: A task-specific framework for the application and critiquing of time-oriented clinical guidelines. Artificial Intelligence in Medicine 14 (1998) 29-51.
6. Shahar, Y. and Cheng, C. (1998). Knowledge-Based Visualization of Time-Oriented Clinical Data. Proceedings of the 1998 AMIA Fall Symposium, Orlando, FL.
7. Shahar, Y. and Musen, M.A.: Knowledge-based temporal abstraction in clinical domains. Artificial Intelligence in Medicine 8(3) (1996) 267–298.
8. Russ, T.A.: Using hindsight in medical decision making. In: Proceedings of Symposium on Computer Applications in Medical Care. IEEE Computer Society Press, New York NY (1989) 38–44.
9. Shahar, Y.: A framework for knowledge-based temporal abstraction. Artificial Intelligence 90 (1) (1997) 79–133.
10. Keravnou, E.T.: A multidimensional and multigranular model of time for medical knowledge–based systems (submitted).
11. Fagan L.M., Kunz, J.C., Feigenbaum, E.A. and Osborn, J.J.: Extensions to a Rule-Based Formalism for a Monitoring Task. In: Buchanan, B.G. and Shortliffe, E.H., (eds.): Rule- Based Expert Systems. Addison-Wesley, Reading, MA (1984) 397-423.
12. De Zegher-Geets, I.M.: IDEFIX: Intelligent Summarization of a Time-Oriented Medical Database. M.S. Dissertation, Program in Medical Information Sciences, Stanford University School of Medicine, 1987; Knowledge Systems Laboratory Technical Report KSL–88-34, Department of Computer Science, Stanford University, Stanford, CA, 1988.
13. Kohane, I.S.: Temporal reasoning in medical expert systems. Technical Report 389, Laboratory of Computer Science, Massachusetts Institute of technology, Cambridge, MA, 1987.
14. Kahn, M.G.: Combining physiologic models and symbolic methods to interpret timevarying patient data. Methods of Information in Medicine 30(3) (1991) 167–178.
15. Larizza, C., Moglia, A, and Stefanelli, M.: M-HTP: A system for monitoring hearttransplant patients. Artificial Intelligence in Medicine 4(2) (1992) 111–126.
16. Haimowitz, I.J. and Kohane, I.S.: Automated trend detection with alternate temporal hypotheses. In: Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Morgan Kaufmann, San Mateo (1993) 146–151.
17. Snodgrass, R. and Ahn, I.: Temporal databases. IEEE Computer 19(9) (1986) 35–42.
18. Caironi, P.V., Portoni, L., Combi, C., Pinciroli, F., Ceri, S.: HyperCare: A prototype of an active database for compliance with essential hypertension therapy guidelines. In: Proceedings of the 1997 AMIA Annual Fall Symposium (formerly the Symposium on Computer Applications in Medical Care). Hanley & Belfus, Philadelphia, PA (1997) 288-292.
19. Horn, W., Miksch, S., Egghart, G., Popow, C., and Paky, F.: Effective data validation of high–frequency data: time–point–, time–interval–, and trend–based methods. Computers in Biology and Medicine, Special Issue: Time–Oriented Systems in Medicine 27(5) (1997) 389–409.
20. Gal, A., Etzion, O., Segev, A.: Representation of highly-complex knowledge in a database. Journal of Intelligent Information Systems 3(2) (1994) 185-203.
21. Das, A.K., and Musen, M.A.: A temporal query system for protocol–directed decision support. Methods of Information in Medicine 33 (1994) 358–370.
22. Melton, J.: An SQL3 Snapshot. In: Proceedings of the Twelfth International Conference on Data Engineering. IEEE Computer Society Press, Los Alamitos, CA (1996) 666–672.
23. Snodgrass, R.T.: The TSQL2 Temporal Query Language. Kluwer Academic Publishers, Boston (1995).
24. Wiederhold, G.: Mediators in the architecture of future information systems. IEEE Computer 25 (1992) 38–50.
25. Wiederhold, G. and Genesereth, M.: The Conceptual Basis of Mediation Services. IEEE Expert 12(5) (1997) 38–47.
26. Nguyen, J.H., Shahar, Y., Tu, S.W., Das, A.K., and Musen, M.A.: Integration of temporal reasoning and temporal-data maintenance into a reusable database mediator to answer abstract, time-oriented queries: The Tzolkin system. Journal of Intelligent Information Systems (in press).
27. Das, A.K., Shahar, Y., Tu, S.W., and Musen, M.A.: A temporal-abstraction mediator for protocol-based decision support. In: Proceedings of the Eighteenth Annual Symposium on Computer Applications in Medical Care (1994) 320–324.
28. Stein, A., Musen, M.A., and Shahar, Y.:. Knowledge acquisition for temporal abstraction. In: Proceedings of the 1996 AMIA Annual Fall Symposium (formerly the Symposium on Computer Applications in Medical Care) (1996) 204–208.
29. Shahar, Y., Chen, H., Stites, D.P., Basso, L., Kaizer, H., Wilson, D.M., and Musen, M.A.: Semiautomated Acquisition of Clinical Temporal-abstraction Knowledge. Stanford Medical Informatics Tech Report SMI-98-0735 (1998).
30. Combi, C., Pinciroli, F., Musazzi, G., and Ponti, C.: Managing and displaying different time granularities of clinical information. In: Ozbolt, J.G. (ed.): The 18th Annual Symposium on Computer Applications in Medical Care., Hanley & Belfus, Philadelphia, PA (1994) 954-958.
31. Cousins, S.B. and Kahn, M.G.: The visual display of temporal information. Artificial Intelligence in Medicine 3(6) (1991) 341–357.