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Computational Intelligence for User and Data Classification in Hospital Software Development

Abstract : Lives are saved by utilization and application of the latest technologies in hospitals around the world to improve patient treatments and well being. Secure, accurate, near real time data acquisition and analysis of patient data and the ability to update such data will reduce cost and improve the quality of patient’s care. This paper considers a wireless framework based on radio frequency identification (RFID) that uses wireless networks for fast data acquisition and transmission. This paper discusses the development of an intelligent multi-agent system in a framework in which RFID can be used for patient data collection. An approach to make the data communications more secure in a hospital environment is proposed. A new method for data classification and access authorization is also developed which will assist in preserving privacy and security of data.
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Masoud Mohammadian, Dimitrios Hatzinakos, Petros Spachos. Computational Intelligence for User and Data Classification in Hospital Software Development. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.145-154, ⟨10.1007/978-3-642-33412-2_15⟩. ⟨hal-01523099⟩

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