• DocumentCode
    1613881
  • Title

    Implementation of decompression algorithm in Alzheimer´s disease database

  • Author

    Zaini, S.S.M. ; Yassin, I.M. ; Adnan, Syed Farid Syed ; Zabidi, Azlee ; Hassan, Hesham Ahmed

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2012
  • Firstpage
    278
  • Lastpage
    281
  • Abstract
    Databases are convenient and structured methods of sharing and retrieving data. Because of this, they are key components of the information system infrastructure for today´s modern research. This paper presents a decompression algorithm for retrieving information stored in a MySQL database. The database stores genetic information of Malaysian Alzheimer´s disease (AD) patients. Due to the size of the data, previous works have compressed the data for efficient storage. This paper presents a decompression method to retrieve the data and display it to the user. The decompression algorithm was implemented using PHP. Results show that the algorithm has been successfully implemented.
  • Keywords
    SQL; diseases; information retrieval; medical computing; AD patients; Alzheimer disease database; Malaysian Alzheimer disease patients; MySQL database; PHP; data retrieval; data sharing; decompression algorithm; genetic information; information system infrastructure; Algorithm design and analysis; Alzheimer´s disease; Computer applications; Data compression; Databases; Genetics; Industrial electronics; Alzheimer´s Disease; Data Compression; PHP; database;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications and Industrial Electronics (ISCAIE), 2012 IEEE Symposium on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4673-3032-9
  • Type

    conf

  • DOI
    10.1109/ISCAIE.2012.6482112
  • Filename
    6482112