Artificial Neural Networks Analysis for Estimating Bone Mineral Density in an Egyptian Population: Towards Standardization of DXA Measurements
American Journal of Neural Networks and Applications
Volume 1, Issue 3, December 2015, Pages: 52-56
Received: Jan. 13, 2016;
Accepted: Feb. 17, 2016;
Published: Mar. 1, 2016
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Samir M. Abdel-Mageed, Physics Department, Faculty of Science, Alexandria University, Alexandria, Egypt
Amani M. Bayoumi, Physics Department, Faculty of Science, Alexandria University, Alexandria, Egypt
Ehab I. Mohamed, Medical Biophysics Department, Medical Research Institute, Alexandria University, Alexandria, Egypt
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An extensive amount of information is currently available to clinical specialists, ranging from detailed demographic characteristics to physical examination and various types of biochemical data. The most important concern in the medical field is to consider the interpretation of data and perform accurate diagnosis. Artificial intelligence method and especially artificial neural network (ANN) algorithms can handle diverse types of medical data and integrate them into categorized outputs. A common bone disease ‘osteoporosis’ does not depend only on bone mineral density (BMD) but also on some other factors e.g., age, weight, height, life-style etc., which play considerable role in the diagnosis of osteoporosis. In this study, we propose a decision making system using demographic variables in an Egyptian population to provide a convenient, accurate and inexpensive solution to predict segmental and total BMD and expect future fracture risk for healthy persons and those with pathologic condition known to be related to BMD. We believe the ANN is a promising tool for estimating and predicting segmental and total BMD values using simple demographic characteristics.
Bone Mineral Density (BMD), Dual-energy X-ray Absorptiometry (DXA), Osteoporosis, Artificial Neural Network (ANN)
To cite this article
Samir M. Abdel-Mageed,
Amani M. Bayoumi,
Ehab I. Mohamed,
Artificial Neural Networks Analysis for Estimating Bone Mineral Density in an Egyptian Population: Towards Standardization of DXA Measurements, American Journal of Neural Networks and Applications.
Vol. 1, No. 3,
2015, pp. 52-56.
Copyright © 2015 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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