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Title: Chest Breadths to Predict Individuals' Age - A Case Based View
Authors: Domingues, Andréa
Vicente, Henrique
Neves, João
Alves, Victor
Neves, José
Editors: Kornyshova, Elena
Poels, Geert
Huemer, Christian
Keywords: Intelligent Systems
Chest X-ray Images
Logic Programming
Knowledge Representation
Case-Based Reasoning
Issue Date: 2016
Publisher: IEEE
Citation: Domingues, A., Vicente, H., Neves, J., Alves, V. & Neves, J., Chest Breadths to Predict Individuals’ Age – A Case Based View. In E. Kornyshova, G. Poels & C. Huemer, Eds., Proceedings of the 18th IEEE Conference on Business Informatics, (CBI 2016) – Vol. 2, pp. 53–60, IEEE Edition, 2016.
Abstract: It is well known that rib cage dimensions depend on the gender and vary with the age of the individual. Under this setting it is therefore possible to assume that a computational approach to the problem may be thought out and, consequently, this work will focus on the development of an Artificial Intelligence grounded decision support system to predict individual’s age, based on such measurements. On the one hand, using some basic image processing techniques it were extracted such descriptions from chest X-rays (i.e., its maximum width and height). On the other hand, the computational framework was built on top of a Logic Programming Case Base approach to knowledge representation and reasoning, which caters for the handling of incomplete, unknown, or even contradictory information. Furthermore, clustering methods based on similarity analysis among cases were used to distinguish and aggregate collections of historical data in order to reduce the search space, therefore enhancing the cases retrieval and the overall computational process. The accuracy of the proposed model is satisfactory, close to 90%.
ISBN: 978-1-5090-3231-0
Type: article
Appears in Collections:QUI - Artigos em Livros de Actas/Proceedings

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