Abstract
The Alzheimer’s disease incidence and prevalence double every five years with a prevalence of 40% among people with more than 85 years of age, and there is a great challenge in identifying the pathology in its earliest stages. The main focus of the work is to aid in the decision making on the diagnosis of the Alzheimer’s disease, which will be made applying the method ORCLASS and the Aranaú Tool. The modeling and evaluation processes were conducted based on bibliographic sources and on the information given by a medical expert.
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
De Castro, A.K.A., Pinheiro, P.R., Pinheiro, M.C.D.: Applying a Decision Making Model in the Early Diagnosis of Alzheimer’s Disease. In: Yao, J., Lingras, P., Wu, W.-Z., Szczuka, M.S., Cercone, N.J., Ślȩzak, D. (eds.) RSKT 2007. LNCS (LNAI), vol. 4481, pp. 149–156. Springer, Heidelberg (2007)
De Castro, A.K.A., Pinheiro, P.R., Pinheiro, M.C.D.: A Multicriteria Model Applied in the Diagnosis of Alzheimer’s Disease. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds.) RSKT 2008. LNCS (LNAI), vol. 5009, pp. 612–619. Springer, Heidelberg (2008)
de Castro, A.K.A., Pinheiro, P.R., Pinheiro, M.C.D.: An Approach for the Neuropsychological Diagnosis of Alzheimer’s Disease. In: Wang, G., Li, T., Grzymsls-Busse, J.W., Miao, D., Skowron, A., Yao, Y.Y. (eds.) RSKT 2009. LNCS, vol. 5589, pp. 216–223. Springer, Heidelberg (2009)
de Castro, A.K.A., Pinheiro, P.R., Pinheiro, M.C.D., Tamanini, I.: Towards the Applied Hybrid Model in Decision Making: A Neuropsychological Diagnosis of Alzheimer’s Disease Study Case. International Journal of Computational Intelligence Systems (accepted to publication, 2010)
Fillenbaum, G.G., van Belle, G., Morris, J.C., et al.: Consortium to Establish a Registry for Alzheimers Disease (CERAD): The first twenty years. Alzheimer’s & Dementia 4(2), 96–109 (2008)
Hughes, C.P., Berg, L., Danzinger, W.L., et al.: A New Clinical Scale for the Staging of Dementia. British J. of Psychiatry 140(6), 566–572 (1982)
Koppel, R.: Alzheimer’s Disease: The Costs to U.S. Businesses in 2002. Alzheimers Association - Report (2002)
Larichev, O., Moshkovich, H.M.: Verbal decision analysis for unstructured problems. Kluwer Academic Publishers, Boston (1997)
Larichev, O.: Ranking Multicriteria Alternatives: The Method ZAPROS III. European Journal of Operational Research 131(3), 550–558 (2001)
Morris, J.C., Heyman, A., Mohs, R.C., et al.: The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD): Part 1. Clinical and Neuropsychological Assessment of Alzheimer’s Disease. Neurology 39(9), 1159–1165 (1989)
Prince, M.J.: Predicting the Onset of Alzheimer’s Disease Using Bayes’ Theorem. American Journal of Epidemiology 143(3), 301–308 (1996)
Tamanini, I., Pinheiro, P.R.: Challenging the Incomparability Problem: An Approach Methodology Based on ZAPROS. Modeling, Computation and Optimization in Information Systems and Management Sciences, Communications in Computer and Information Science 14(1), 344–353 (2008)
Tamanini, I., Castro, A.K.A., Pinheiro, P.R., Pinheiro, M.C.D.: Towards the Early Diagnosis of Alzheimer’s Disease: A Multicriteria Model Structured on Neuroimaging. Int. J. of Social and Humanistic Computing 1, 203–217 (2009)
Tamanini, I., Castro, A.K.A., Pinheiro, P.R., Pinheiro, M.C.D.: Verbal Decision Analysis Applied on the Optimization of Alzheimer’s Disease Diagnosis: A Study Case Based on Neuroimaging. Special Issue: Software Tools and Algorithms for Biological Systems, Advances in Experimental Medicine and Biology (to appear 2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tamanini, I., Pinheiro, P.R., Pinheiro, M.C.D. (2010). The Neuropathological Diagnosis of the Alzheimer’s Disease under the Consideration of Verbal Decision Analysis Methods. In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds) Rough Set and Knowledge Technology. RSKT 2010. Lecture Notes in Computer Science(), vol 6401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16248-0_60
Download citation
DOI: https://doi.org/10.1007/978-3-642-16248-0_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16247-3
Online ISBN: 978-3-642-16248-0
eBook Packages: Computer ScienceComputer Science (R0)