U-health expert system with statistical neural network

B-H Song; J-J Lee; M. Lee

doi:10.1109/ICCIT.2009.122

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U-health expert system with statistical neural network

Conference paper

Open access

U-health expert system with statistical neural network

B-H Song, J-J Lee and M. Lee

2009 Fourth International Conference on Computer Sciences and Convergence Information Technology, pp.227-231

IEEE

4th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2009 (Seoul, 24/11/2009–26/11/2009)

2009

DOI: https://doi.org/10.1109/ICCIT.2009.122

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Abstract

Ubiquitous Health(U-Health) system witch focuses on automated applications that can provide healthcare to human anywhere and anytime using wired and wireless mobile technologies is becoming increasingly important. This system consists of a network system to collect data and a sensor module which measures pulse, blood pressure, diabetes, blood sugar, body fat diet with management and measurement of stress etc, by both wired and wireless and further portable mobile connections. In this paper, we propose an expert system using back-propagation to support the diagnosis of citizens in U-Health system.

Details

Title: U-health expert system with statistical neural network
Authors/Creators: B-H Song (Author/Creator) - Murdoch University
J-J Lee (Author/Creator) - Murdoch University
M. Lee (Author/Creator) - Murdoch University
Publication Details: 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology, pp.227-231
Conference: 4th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2009 (Seoul, 24/11/2009–26/11/2009)
Publisher: IEEE
Identifiers: 991005544429007891
Murdoch Affiliation: School of Engineering and Energy
Language: English
Resource Type: Conference paper
Note: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This paper appears in: ICCIT 2009 - 4th International Conference on Computer Sciences and Convergence Information Technology 2009, Article number 5367938, Pages 227-231

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