文章基本信息

标题：Artificial Neural Network: A Tool for Diagnosing Osteoporosis
本地全文：下载
作者：Shaikh AbdulBasit ; Sarim Muhammad ; Raffat SheikhKashif 等
期刊名称：Research Journal of Recent Sciences
电子版ISSN：2277-2502
出版年度：2014
卷号：3
期号：2
页码：87-91
语种：English
出版社：International Science Community Association
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.
关键词：e-Health system;fracture risk;osteoporosis;neural network