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DOI: 10.1055/s-0038-1634947
A Modular Knowledge Base for the Follow-Up of Clinical Protocols
This work has been supported, in part, by the European Community ESPRIT I Programme P1592 and, in part, by the Spanish CICYT project TIC88-0315 and XUGA project 10504A-92.Publikationsverlauf
Publikationsdatum:
08. Februar 2018 (online)
Abstract
From the knowledge engineering point of view, the observation of patients subjected to clinical protocols of therapy constitutes a domain characterized by the existence of strongly structured knowledge. We have approached the problem from the perspective of a homogeneous and modular knowledge representation theory, based on the concept of Generalized Magnitude. This concept arises from identifying and collecting all possible facts of a domain established a priori, and being inspired by the concept of physical magnitudes. The Generalized Magnitudes scheme includes temporal extensions necessary to solve a medical problem for which exists a therapy and a follow-up plan with temporal specifications, and also facilitates the creation of advisory expert systems.
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REFERENCES
- 1 Becker TM. Cancer Chemotherapy: A manual for Nurses. Boston MA: Little, Brown and Company; 1981
- 2 Simon R. The design and analysis of clinical trials. In: Cancer in the Young. Levine AS. ed. New York: Masson Publishing; 1982: 391-402.
- 3 Musen MA, Fagan LM, Combs DM, Short-liffe EH. Use of a domain model to drive an interactive knowledge-editing tool. Int J Man Mach Stud 1987; 26: 105-21.
- 4 Musen MA. An editor for the conceptual models of interactive knowledge acquisition tools. Int J Man Mach Stud 1989; 31: 673-98.
- 5 Tu SW, Kahn MG, Musen MA. et al. Episodic skeletal plan refinement based on temporal data. Commun ACM 1989; 32: 1439-55.
- 6 Mira J, Otero RP, Barro S. et al. On knowledge based systems in CCU’s: monitoring and patients follow-up. In: Knowledge Based Systems in Medicine: Methods, Applications and Evaluation. Lecture Notes in Medical Informatics. Talmon JL, Fox J. (eds). Berlin: Springer Verlag; 1991: 174-92.
- 7 White R, Grant A, Cramp DG. Small Cell Lung Cancer protocol comparison. TAO Esprit Project 1592 Internal Report. March 1989
- 8 Otero RP. Medtool: Una Herramienta para el Desarrollo de Sistemas Expertos. (Ph.D Thesis, in Spanish). Universidad de Santiago, Santiago de Compostela; 1991
- 9 Shoham Y. Reasoning about Change. Time and Causation from the Standpoint of Artificial Intelligence. Cambridge MA: MIT Press; 1988
- 10 Otero RP, Santos J, Barreiro A, Mira J, Marín R. Visualizing the inference network in Medtool. In: Proceedings of Fifth International Symposium on Knowledge Engineering. Sevilla: 1992: 82-7.
- 11 Barreiro A, Otero RP, Marín R, Delgado AE, Mira J. Follow-up of patients included in oncology protocols using Medtool. In: Proceedings V Mediterranean Conference on Medical and Biological Engineering. Patras: 1989: 280-1.
- 12 Jones S. Graphical interfaces for knowledge engineering: an overview of relevant literature. Knowl Engin Rev 1988; 03: 221-47.