Computational Intelligence for User and Data Classification in Hospital Software Development

Masoud Mohammadian, Dimitrios Hatzinakos, Petros Spachos

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    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 languageEnglish
    Title of host publicationInternational Conference on Artificial Intelligence Applications and Innovations
    EditorsLazaros Iliadis, Ilias Maglogiannis, Harris Papadopoulos, Kostas Karatzas, Spyros Sioutas
    Place of PublicationBerlin Heidelberg
    PublisherSpringer
    Pages145-154
    Number of pages10
    Volume382
    ISBN (Electronic)9783642334122
    ISBN (Print)9783642334085
    DOIs
    Publication statusPublished - 2012
    EventInternational Conference on Artificial Intelligence Applications and Innovations - Halkidiki, Halkidiki, Greece
    Duration: 27 Sep 201230 Sep 2012

    Conference

    ConferenceInternational Conference on Artificial Intelligence Applications and Innovations
    CountryGreece
    CityHalkidiki
    Period27/09/1230/09/12

    Fingerprint

    Radio frequency identification (RFID)
    Artificial intelligence
    Software engineering
    Data acquisition
    Patient treatment
    Security of data
    Multi agent systems
    Data communication systems
    Wireless networks
    Costs
    Secure communication

    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). Berlin Heidelberg: 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’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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    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 BookConference contribution

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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

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    BT - International Conference on Artificial Intelligence Applications and Innovations

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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 https://doi.org/10.1007/978-3-642-33412-2_15