An epistemological framework for medical knowledge-based systems

1992 ◽  
Vol 22 (6) ◽  
pp. 1361-1375 ◽  
Author(s):  
M. Ramoni ◽  
M. Stefanelli ◽  
L. Magnani ◽  
G. Barosi
1993 ◽  
Vol 32 (04) ◽  
pp. 326-338
Author(s):  
B. Petkoff ◽  
H. Mannebach ◽  
S. Kirkby ◽  
D. Kraus

AbstractThe building of medical knowledge-based systems involves the reconstruction of methodological principles and structures within the various subdomains of medicine. ACCORD is a general methodology of knowledge-based systems, and MACCORD its application to medicine. MACCORD represents the problem solving behavior of the medical expert in terms of various types of medical reasoning and at various levels of abstraction. With MACCORD the epistemic and cognitive processes in clinical medicine can be described in formal terminology, covering the entire diversity of medical reasoning. MACCORD is close enough to formalization to make a significant contribution to the fields of medical knowledge acquisition, medical didactics and the analysis and application of medical problem solving methods.


2013 ◽  
Vol 46 (4) ◽  
pp. 710-720 ◽  
Author(s):  
Pablo Gay ◽  
Beatriz López ◽  
Albert Plà ◽  
Jordi Saperas ◽  
Carles Pous

1995 ◽  
Vol 34 (01/02) ◽  
pp. 25-39 ◽  
Author(s):  
G. Lanzola ◽  
S. Quaglini ◽  
M. Stefanelli

Abstract:Knowledge-based systems (KBS) have been proposed to solve a large variety of medical problems. A strategic issue for KBS development and maintenance are the efforts required for both knowledge engineers and domain experts. The proposed solution is building efficient knowledge acquisition (KA) tools. This paper presents a set of KA tools we are developing within a European Project called GAMES II. They have been designed after the formulation of an epistemological model of medical reasoning. The main goal is that of developing a computational framework which allows knowledge engineers and domain experts to interact cooperatively in developing a medical KBS. To this aim, a set of reusable software components is highly recommended. Their design was facilitated by the development of a methodology for KBS construction. It views this process as comprising two activities: the tailoring of the epistemological model to the specific medical task to be executed and the subsequent translation of this model into a computational architecture so that the connections between computational structures and their knowledge level counterparts are maintained. The KA tools we developed are illustrated taking examples from the behavior of a KBS we are building for the management of children with acute myeloid leukemia.


2001 ◽  
Vol 64 (2-3) ◽  
pp. 355-367 ◽  
Author(s):  
Rainer Schmidt ◽  
Stefania Montani ◽  
Riccardo Bellazzi ◽  
Luigi Portinale ◽  
Lothar Gierl

1994 ◽  
Vol 45 (1-2) ◽  
pp. 79-81 ◽  
Author(s):  
Francesco Bruno ◽  
Hauke Kindler ◽  
Mark Leaning ◽  
Vassilis Moustakis ◽  
Jean Raoul Scherrer ◽  
...  

1995 ◽  
Vol 10 (2) ◽  
pp. 153-179 ◽  
Author(s):  
Peter J. F. Lucas

AbstractThe safety-critical nature of the application of knowledge-based systems to the field of medicine requires the adoption of reliable engineering principles with a solid foundation for their construction. Logical languages with their inherent, precise notions of consistency, soundness and completeness provide such a foundation, thus promoting scrupulous engineering of medical knowledge. Moreover, logic techniques provide a powerful means for getting insight into the structure and meaning of medical knowledge used in medical problem solving. Unfortunately, logic is currently only used on a small scale for building practical medical knowledge-based systems. In this paper, the various approaches proposed in the literature are reviewed, and related to the various types of knowledge and problem solving employed in the medical field. The appropriateness of logic for building medical knowledge-based expert systems is further motivated.


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