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An algorithm to manage variable-length records for highly portable clinical data base systems.

M Okada, M Okada

    Computers and Biomedical Research, an International Journal
    |June 1, 1986
    PubMed
    Summary
    This summary is machine-generated.

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    A new algorithm archives patient data efficiently by compressing and blocking records. This method allows flexible data management and is suitable for portable database systems.

    Area of Science:

    • Computer Science
    • Medical Informatics
    • Data Management

    Background:

    • Archiving patient data requires efficient storage solutions.
    • Existing methods may lack flexibility in record manipulation.
    • Disk storage limitations necessitate effective data compression techniques.

    Purpose of the Study:

    • To present a novel algorithm for archiving patient data with flexible storage.
    • To enable efficient data compression and manipulation for database systems.

    Main Methods:

    • Developed an algorithm to compress character string records (e.g., ASCII text).
    • Records are divided into fixed-length blocks, each with data and pointer fields.
    • Blocks are chained using forward pointers; head pointers are saved separately.

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  • Data compression involves counting consecutive identical character codes.

    • Main Results:

    • The algorithm successfully archives patient data in variable disk space.
    • Implemented and tested in FORTRAN77 using a practical patient data file.
    • Demonstrated efficient record fetching, re-saving, and purging capabilities.

    Conclusions:

    • The proposed algorithm offers highly flexible patient record manipulation.
    • Its straightforward implementation in conventional programming languages is highlighted.
    • The algorithm is a valuable tool for developing portable database management systems.