摘要：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.
