ARTIFICIAL NEURAL NETWORK APPROACH FOR DEVELOPING TELEMEDICINE SOLUTIONS: FEED-FORWARD BACK PROPAGATION NETWORK

被引：0
|
作者：
Gheorghe, Mihaela [1 ]
机构：
[1] Bucharest Univ Econ Studies, Bucharest, Romania
来源：
PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY (IE 2015): EDUCATION, RESEARCH & BUSINESS TECHNOLOGIES | 2015年
关键词：
back propagation; telemedicine; artificial neural network; algorithm;
D O I：
暂无
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
Artificial neural networks have the ability of learning patterns corresponding to different medical symptoms and based upon them, their methodologies are representing an important classifier tool which can be used in the process of early detection of diseases to distinguish between infected or non-infected patients. This paper presents a neural network approach for medical diagnosis, more specifically diabetes diagnosing as a case study based on a feed-forward back propagation network.
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页码：563 / 569
页数：7
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