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Volume 1 | Issue 1 | Year 2011 | Article Id. IJCTT-V1I1P27 | DOI : https://doi.org/10.14445/22312803/IJCTT-V1I1P27
An Entropy Decision Model for Selection of Enterprise Resource Planning System
Ming-Chang Lee, Jui-Fang Chang, Jung-Fang Chen
Citation :
Ming-Chang Lee, Jui-Fang Chang, Jung-Fang Chen, "An Entropy Decision Model for Selection of Enterprise Resource Planning System," International Journal of Computer Trends and Technology (IJCTT), vol. 1, no. 1, pp. 111-115, 2011. Crossref, https://doi.org/10.14445/22312803/IJCTT-V1I1P27
Abstract
In this paper, we propose a multi - agent based mobile health monitoring system which is the combination of a wireless medical sensor module with data mining techniques. Mobile Health Care is the application of mobile computing technologies for improvi ng communication among patients, physicians, and other health care workers. Here we separate Association rule exploration into two data groups: 1) Real time sensory data collected from patient’s body 2) Historical data collected in past. This system collec ts the diagnosis patterns, classifies them into normal and emergency terms and declares emergency by comparing the two data groups as mentioned earlier. Thus suggests methods to analyze and model patterns of patient’s normal and emergency status.
Keywords
Wireless Sensor Networks, Multi - Agent System, Ubiquitous Computing, Data Mining, Health Care System.
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