Research Article | OPEN ACCESS
Research on Traditional Chinese Food Medical Four Diagnostic Information Collection Platform Design Using Cloud Storage Architecture
1Yongqiu.Tu, 1, 2, 3, 4Shenghua Piao and 1, 2, 3, 4Jiao Guo
1Guangdong Pharmaceutical University, Guangzhou
2Key Unit of Modulating Liver to Treat Hyperlipemia SATCFM
3Level 3 Laboratory of Lipid Metabolism SATCFM
4Guangdong TCFM Key Laboratory for Metabolic Diseases, China
Advance Journal of Food Science and Technology 2016 5:225-228
Received: July 26, 2015 | Accepted: August 20, 2015 | Published: October 05, 2016
Abstract
A Traditional Chinese Food Medical (TCFM) four diagnostic information collection platform for dietary obesity is designed based on cloud storage architecture. The patient information recorded in the collection platform may comes from three different information collection devices: computer, image acquisition and cell phone. An application with friendly graphic user interface is implemented on computer devices to collect text-class food medical information; image acquisition is a closed collector box which can provide no natural light environment and acquire the face, tongue, hands and other image without natural light affection; a mobile application is designed for patients to record daily health information in their cell phone and transmitted to the information collection platform. In order to efficiently integrate patient information collected by different devices, information collection platform based on cloud storage architecture is designed, the architecture of cloud storage is layered and cooperative and the key technologies including deployment, storage scheme, data organization is considered.
Keywords:
Cloud storage architecture, collection platform, four diagnostic information, TCFM,
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PMCid:PMC4798252 Direct Link
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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