Details

Autor(en) / Beteiligte

• Che-Lun Hung
• Ching-Heng Lin
• Sheng-Ya Lu
• Yi-Chia Kao
• Li-Ying Li

Titel

Cloud Computing Model for Analyzing Antibiotic Usage from the National Health Insurance Research Database

Ist Teil von

• 2017 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC), 2017, p.363-368

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE

Beschreibungen/Notizen

• 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.