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
Link To Document :
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