An Active Distributed Medical Advisory System

Kim Le

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

    Abstract

    For the last few decades, medical practitioners and specialists have been waiting for efficient medical advisory systems. Most of current computer-aided diagnosis systems are rather passive. Health data, a rich source of medical knowledge, often have not been used efficiently for medical treatment as well as financial management. Their accesses are very limited. This paper introduces the design of a well-structured medical advisory system based on the advanced Internet. The system is also equipped with data mining and AI techniques to make it becoming an active distributed medical advisory system
    Original languageEnglish
    Title of host publicationSEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems
    EditorsLeonid Kazovsky, Pierre Borne, Nikos Mastorakis, Angel Kuri-Morales, Ioannis Sakellaris
    Place of PublicationUnited Kingdom
    PublisherAssociation for Computing Machinery (ACM)
    Pages32-37
    Number of pages6
    Volume1
    ISBN (Print)9789606766428
    Publication statusPublished - 2008
    EventInternational Conference on Software Engineering, Parallel and Distributed Systems - Cambridge, United Kingdom
    Duration: 20 Feb 200822 Feb 2008

    Conference

    ConferenceInternational Conference on Software Engineering, Parallel and Distributed Systems
    CountryUnited Kingdom
    CityCambridge
    Period20/02/0822/02/08

    Fingerprint

    Computer aided diagnosis
    Data mining
    Health
    Internet

    Cite this

    Le, K. (2008). An Active Distributed Medical Advisory System. In L. Kazovsky, P. Borne, N. Mastorakis, A. Kuri-Morales, & I. Sakellaris (Eds.), SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems (Vol. 1, pp. 32-37). United Kingdom: Association for Computing Machinery (ACM).
    Le, Kim. / An Active Distributed Medical Advisory System. SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems. editor / Leonid Kazovsky ; Pierre Borne ; Nikos Mastorakis ; Angel Kuri-Morales ; Ioannis Sakellaris. Vol. 1 United Kingdom : Association for Computing Machinery (ACM), 2008. pp. 32-37
    @inproceedings{f7fd97a9f115454ba7b5ae33dd66f81f,
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    Le, K 2008, An Active Distributed Medical Advisory System. in L Kazovsky, P Borne, N Mastorakis, A Kuri-Morales & I Sakellaris (eds), SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems. vol. 1, Association for Computing Machinery (ACM), United Kingdom, pp. 32-37, International Conference on Software Engineering, Parallel and Distributed Systems, Cambridge, United Kingdom, 20/02/08.

    An Active Distributed Medical Advisory System. / Le, Kim.

    SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems. ed. / Leonid Kazovsky; Pierre Borne; Nikos Mastorakis; Angel Kuri-Morales; Ioannis Sakellaris. Vol. 1 United Kingdom : Association for Computing Machinery (ACM), 2008. p. 32-37.

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

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    N2 - For the last few decades, medical practitioners and specialists have been waiting for efficient medical advisory systems. Most of current computer-aided diagnosis systems are rather passive. Health data, a rich source of medical knowledge, often have not been used efficiently for medical treatment as well as financial management. Their accesses are very limited. This paper introduces the design of a well-structured medical advisory system based on the advanced Internet. The system is also equipped with data mining and AI techniques to make it becoming an active distributed medical advisory system

    AB - For the last few decades, medical practitioners and specialists have been waiting for efficient medical advisory systems. Most of current computer-aided diagnosis systems are rather passive. Health data, a rich source of medical knowledge, often have not been used efficiently for medical treatment as well as financial management. Their accesses are very limited. This paper introduces the design of a well-structured medical advisory system based on the advanced Internet. The system is also equipped with data mining and AI techniques to make it becoming an active distributed medical advisory system

    M3 - Conference contribution

    SN - 9789606766428

    VL - 1

    SP - 32

    EP - 37

    BT - SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems

    A2 - Kazovsky, Leonid

    A2 - Borne, Pierre

    A2 - Mastorakis, Nikos

    A2 - Kuri-Morales, Angel

    A2 - Sakellaris, Ioannis

    PB - Association for Computing Machinery (ACM)

    CY - United Kingdom

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    Le K. An Active Distributed Medical Advisory System. In Kazovsky L, Borne P, Mastorakis N, Kuri-Morales A, Sakellaris I, editors, SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems. Vol. 1. United Kingdom: Association for Computing Machinery (ACM). 2008. p. 32-37