H3: A hybrid handheld healthcare framework

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    Handheld devices, which have been widely adopted to clinical environments for medical data archiving, have revolutionized error-prone manual processes of the past. Meanwhile, the use of devices has been reported to be limited to data entries and archiving, without fully leveraging their computing and retrieval capabilities. This paper studies a hybrid system which complements current state-of-art, by combining intelligent retrieval techniques developed over middleware environments for retrieval effectiveness and flash-aware data management techniques for retrieval efficiency. By enabling intelligent ranked retrieval, the limited resources of handheld devices, e.g., limited display and computation capabilities, can be utilized effectively, by selectively retrieving the few most relevant results. However, to achieve this goal, we need a hybrid approach, bridging middleware-based ranked retrieval techniques to optimize for flash memory storage, as typically adopted by handheld devices. We address this newly emerging challenge and propose a flash-aware framework H3, which we empirically validate its effectiveness over baseline alternatives.

    Original languageEnglish
    Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings
    PublisherSpringer Verlag
    Number of pages8
    ISBN (Print)3540465375, 9783540465379
    Publication statusPublished - 2006 Jan 1
    Event10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 - Bournemouth, United Kingdom
    Duration: 2006 Oct 92006 Oct 11

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4252 LNAI - II
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Other10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
    Country/TerritoryUnited Kingdom

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)


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