Computational Intelligence for User and Data Classification in Hospital Software Development

Masoud Mohammadian; Dimitrios Hatzinakos; Petros Spachos

doi:10.1007/978-3-642-33412-2_15

Computational Intelligence for User and Data Classification in Hospital Software Development

Masoud Mohammadian, Dimitrios Hatzinakos, Petros Spachos

Canberra Business School

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

3 Citations (Scopus)

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

Original language	English
Title of host publication	International Conference on Artificial Intelligence Applications and Innovations
Editors	Lazaros Iliadis, Ilias Maglogiannis, Harris Papadopoulos, Kostas Karatzas, Spyros Sioutas
Place of Publication	Berlin Heidelberg
Publisher	Springer
Pages	145-154
Number of pages	10
Volume	382
ISBN (Electronic)	9783642334122
ISBN (Print)	9783642334085
DOIs	https://doi.org/10.1007/978-3-642-33412-2_15
Publication status	Published - 2012
Event	International Conference on Artificial Intelligence Applications and Innovations - Halkidiki, Halkidiki, Greece Duration: 27 Sept 2012 → 30 Sept 2012

Conference

Conference	International Conference on Artificial Intelligence Applications and Innovations
Country/Territory	Greece
City	Halkidiki
Period	27/09/12 → 30/09/12

Access to Document

10.1007/978-3-642-33412-2_15

http://dl.ifip.org/db/conf/ifip12/aiai2012-2/MohammadianHS12.pdf

Cite this

Mohammadian, M., Hatzinakos, D., & Spachos, P. (2012). Computational Intelligence for User and Data Classification in Hospital Software Development. In L. Iliadis, I. Maglogiannis, H. Papadopoulos, K. Karatzas, & S. Sioutas (Eds.), International Conference on Artificial Intelligence Applications and Innovations (Vol. 382, pp. 145-154). Springer. https://doi.org/10.1007/978-3-642-33412-2_15

Mohammadian, Masoud ; Hatzinakos, Dimitrios ; Spachos, Petros. / Computational Intelligence for User and Data Classification in Hospital Software Development. International Conference on Artificial Intelligence Applications and Innovations. editor / Lazaros Iliadis ; Ilias Maglogiannis ; Harris Papadopoulos ; Kostas Karatzas ; Spyros Sioutas. Vol. 382 Berlin Heidelberg : Springer, 2012. pp. 145-154

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title = "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{\textquoteright}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",

keywords = "Risk Analysis, Decision Making, Disaster Recovery",

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Mohammadian, M, Hatzinakos, D & Spachos, P 2012, Computational Intelligence for User and Data Classification in Hospital Software Development. in L Iliadis, I Maglogiannis, H Papadopoulos, K Karatzas & S Sioutas (eds), International Conference on Artificial Intelligence Applications and Innovations. vol. 382, Springer, Berlin Heidelberg, pp. 145-154, International Conference on Artificial Intelligence Applications and Innovations, Halkidiki, Greece, 27/09/12. https://doi.org/10.1007/978-3-642-33412-2_15

Computational Intelligence for User and Data Classification in Hospital Software Development. / Mohammadian, Masoud; Hatzinakos, Dimitrios; Spachos, Petros.
International Conference on Artificial Intelligence Applications and Innovations. ed. / Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos; Kostas Karatzas; Spyros Sioutas. Vol. 382 Berlin Heidelberg: Springer, 2012. p. 145-154.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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N2 - 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

AB - 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

KW - Risk Analysis

KW - Decision Making

KW - Disaster Recovery

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Mohammadian M, Hatzinakos D, Spachos P. Computational Intelligence for User and Data Classification in Hospital Software Development. In Iliadis L, Maglogiannis I, Papadopoulos H, Karatzas K, Sioutas S, editors, International Conference on Artificial Intelligence Applications and Innovations. Vol. 382. Berlin Heidelberg: Springer. 2012. p. 145-154 doi: 10.1007/978-3-642-33412-2_15

Computational Intelligence for User and Data Classification in Hospital Software Development

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