Volume 4, Issue 1, February 2011, Pages 89 - 99
Towards the Applied Hybrid Model in Decision Making: A Neuropsychological Diagnosis of Alzheimer's Disease Study Case
Authors
Ana Karoline Araujo de Castro, Placido Rogério Pinheiro, Mirian Caliope Dantas Pinheiro, Isabelle Tamanini
Corresponding Author
Ana Karoline Araujo de Castro
Received 27 December 2009, Accepted 19 September 2010, Available Online 1 February 2011.
- DOI
- 10.2991/ijcis.2011.4.1.8How to use a DOI?
- Keywords
- Alzheimer's disease, Diagnosis, Multicriteria Method, Bayesian Network, Influence Diagram
- Abstract
A hybrid model, combining influence diagrams and a multicriteria method, is presented in order to assist with the decision making process about which questions would be more attractive to the definition of the diagnosis of Alzheimer's disease, considering the stages of Clinical Dementia Rating. The modeling and evaluation processes were carried out through a battery of standardized assessments for the evaluation of cases with Alzheimer’s disease developed by Consortium to Establish a Registry for Alzheimer’s disease.
- Copyright
- © 2010, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Ana Karoline Araujo de Castro AU - Placido Rogério Pinheiro AU - Mirian Caliope Dantas Pinheiro AU - Isabelle Tamanini PY - 2011 DA - 2011/02/01 TI - Towards the Applied Hybrid Model in Decision Making: A Neuropsychological Diagnosis of Alzheimer's Disease Study Case JO - International Journal of Computational Intelligence Systems SP - 89 EP - 99 VL - 4 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2011.4.1.8 DO - 10.2991/ijcis.2011.4.1.8 ID - Castro2011 ER -