Development of an Alzheimer's disease genetic database for Malaysian patients
Web database is a convenient way of sharing and retrieving data as well as a key component of the information system infrastructure of today's modern research. In medicine, web databases on various diseases are valuable tools to facilitate the search for effective treatment. Alzheimer's Di...
Published in: | Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009 |
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2-s2.0-70349929318 Rahman F.Y.A.; Abidin H.Z.; Yassin A.I.M.; Hashim H. Development of an Alzheimer's disease genetic database for Malaysian patients 2009 Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009 10.1109/CSPA.2009.5069245 https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349929318&doi=10.1109%2fCSPA.2009.5069245&partnerID=40&md5=e8b109fe7d68b754d2c099a73469545c Web database is a convenient way of sharing and retrieving data as well as a key component of the information system infrastructure of today's modern research. In medicine, web databases on various diseases are valuable tools to facilitate the search for effective treatment. Alzheimer's Disease (AD) is a neurodegenerative disease that has received significant focus in research worldwide. Currently, medical professionals rely on foreign AD databases with no relevant biodiversity with Malaysian patients with different genetic elements. We present the development work of a web database to store genetic information of Malaysian AD patients based on biodiversity. The three-tier architecture was used, consisting of the client-side presentation logic, and server-side business logic and database. It is envisaged that, the proposed web database would assist Malaysian medical professionals in finding the effective treatment for AD. ©2009 IEEE. English Conference paper |
author |
Rahman F.Y.A.; Abidin H.Z.; Yassin A.I.M.; Hashim H. |
spellingShingle |
Rahman F.Y.A.; Abidin H.Z.; Yassin A.I.M.; Hashim H. Development of an Alzheimer's disease genetic database for Malaysian patients |
author_facet |
Rahman F.Y.A.; Abidin H.Z.; Yassin A.I.M.; Hashim H. |
author_sort |
Rahman F.Y.A.; Abidin H.Z.; Yassin A.I.M.; Hashim H. |
title |
Development of an Alzheimer's disease genetic database for Malaysian patients |
title_short |
Development of an Alzheimer's disease genetic database for Malaysian patients |
title_full |
Development of an Alzheimer's disease genetic database for Malaysian patients |
title_fullStr |
Development of an Alzheimer's disease genetic database for Malaysian patients |
title_full_unstemmed |
Development of an Alzheimer's disease genetic database for Malaysian patients |
title_sort |
Development of an Alzheimer's disease genetic database for Malaysian patients |
publishDate |
2009 |
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Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009 |
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10.1109/CSPA.2009.5069245 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349929318&doi=10.1109%2fCSPA.2009.5069245&partnerID=40&md5=e8b109fe7d68b754d2c099a73469545c |
description |
Web database is a convenient way of sharing and retrieving data as well as a key component of the information system infrastructure of today's modern research. In medicine, web databases on various diseases are valuable tools to facilitate the search for effective treatment. Alzheimer's Disease (AD) is a neurodegenerative disease that has received significant focus in research worldwide. Currently, medical professionals rely on foreign AD databases with no relevant biodiversity with Malaysian patients with different genetic elements. We present the development work of a web database to store genetic information of Malaysian AD patients based on biodiversity. The three-tier architecture was used, consisting of the client-side presentation logic, and server-side business logic and database. It is envisaged that, the proposed web database would assist Malaysian medical professionals in finding the effective treatment for AD. ©2009 IEEE. |
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1809677914822672384 |