@inproceedings{f367ea70216642c4a69dd4728bc71a62,
title = "Cloud computing model for analyzing antibiotic usage from the national health insurance research database",
abstract = "In the past two decades, due to Taiwans national insurance policy, a substantial amount of medical and patient records have been stored in a large database. From this database, much important medical knowledge has been discovered; however, with the rapid growth of database size, it takes an increasingly long time to process queries on the database, even rather simple queries. We, therefore, propose a cloud computing model to process large volumes of medical data by using a Hadoop ecosystem. From our experimental results, we conclude that our proposed model can achieve significant speedup over traditional database systems, such as MySQL.",
keywords = "Antibiotics, Cloud computing, Hadoop, MySQL, National health insurance",
author = "Hung, {Che Lun} and Lin, {Ching Heng} and Lu, {Sheng Ya} and Kao, {Yi Chia} and Li, {Li Ying}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; null ; Conference date: 21-06-2017 Through 23-06-2017",
year = "2017",
month = nov,
day = "27",
doi = "10.1109/ISPAN-FCST-ISCC.2017.77",
language = "English",
series = "Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "363--368",
booktitle = "Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017",
address = "United States",
}