Abstract
In order to give full support for differential diagnosis of dementia in medical practice, one single clinical guideline is not sufficient. A synthesis guideline has been formalized using core features from selected clinical guidelines for the purpose of providing decision support for clinicians in clinical practice. This guideline is sufficient for typical cases in the domain, but in order to give support in atypical cases additional clinical guidelines are needed which are pervaded with more uncertainty. In order to investigate the applicability of a probabilistic formalism language for the formalization of these guidelines, a case study was made using the qualitative probabilistic reasoning approach developed in [1]. The case study is placed in context of a foundational view of transformations between logics. The clinical decision-making motivation and utility for this transformation will be given together with some formal indications concerning this transformation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Parsons, S.: A Proof Theoretic Approach to Qualitative Probabilistic Reasoning. International Journal of Approximate Reasoning 19, 265–297 (1998)
Lindgren, H., Eklund, P., Eriksson, S.: Clinical Decision Support System in Dementia Care. In: Proc. of MIE 2002: Health Data in the Information Society, pp. 568–576. IOS Press, Amsterdam (2002)
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR®). American Psychiatric Association (1994)
Parsons, S.: On Precise and Correct Qualitative Probabilistic Inference. International Journal of Approximate Reasoning 35, 111–135 (2004)
Lindgren, H.: Managing Knowledge in the Development of a Decision-Support System for the Investigation of Dementia. UMNAD 01/05, Department of Computing Science, University of Umeå, Sweden (2005)
Eklund, P., Klawonn, F.: Neural Fuzzy Logic Programming. IEEE Trans. Neural Networks 3(5), 815–818 (1992)
McKeith, I.G., Galasko, D., Kosaka, K., et al.: Consensus guidelines for the clinical and pathologic diagnosis of dementia with Lewy bodies (DLB): report of the Consortium on DLB international workshop. Neurology 54, 1050–1058 (1996)
Neary, D., Snowden, J.S., Gustafson, L., Passant, U., Stuss, D., Black, S., et al.: Frontotemporal Lobar Degeneration - A Consensus on Clinical Diagnostic Criteria. Neurology 51, 1546–1554 (1998)
O’Brien, J., Ames, D., Burns, A. (eds.): Dementia. Arnold (2000)
Fox, J., Parsons, S.: Arguing about beliefs and actions. In: Hunter, A., Parsons, S. (eds.) Applications of Uncertainty Formalisms. LNCS (LNAI), vol. 1455, pp. 266–302. Springer, Heidelberg (1998)
Pollock, J.L.: Defeasible reasoning with variable degrees of justification. Artificial Intelligence 133, 233–282 (2001)
Kohlas, J.: Probabilistic argumentation systems: A new way to combine logic with probability. Journal of Applied Logic 1, 225–253 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lindgren, H., Eklund, P. (2005). Logic of Dementia Guidelines in a Probabilistic Argumentation Framework. In: Godo, L. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2005. Lecture Notes in Computer Science(), vol 3571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11518655_30
Download citation
DOI: https://doi.org/10.1007/11518655_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27326-4
Online ISBN: 978-3-540-31888-0
eBook Packages: Computer ScienceComputer Science (R0)