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Artificial Neural Network: A Tool for Diagnosing Osteoporosis

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Author Affiliations

  • 1Department of Computer Science, Federal Urdu University of Arts, Sciences and Technology, Karachi, PAKISTAN

Res. J. Recent Sci., Volume 3, Issue (2), Pages 87-91, February,2 (2014)

Abstract

The most important concern in the medical domain is to consider the interpretation of data and perform accurate diagnosis. To improve diagnostic process and avoid misdiagnosis, many e-Health systems use artificial intelligence method and especially artificial neural network to manipulate diverse type of clinical data. A common bone disease ‘osteoporosis’ does not only depend on bone mineral density but also some other factors have significance i.e. age, weight, height, life-style etc. these all factors play considerable role to diagnosis osteoporosis. In this study, we propose a decision making system using the factors other then bone mineral density to provide a convenient, accurate and inexpensive solution to predict future fracture risk.

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