Use NoSQL Database to Implement Big Data Visualization of National Health Insurance Research Database

• Main Authors: Jiung-Mou Cheng, 程炯謀
• Other Authors: Jau-Min Wong
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/07379662855651565880

碩士 === 國立臺灣大學 === 醫學工程學研究所 === 103 === National Health Research Institutes of Taiwan had build National Health Insurance Research Database, this database stored medical information since 1996 insured health care offered, it accumulated substantial health care data that has become the basis of many valuable medical studies. In order to build a more efficient 1996 to 2010, 15 years, Taiwan National Health Insurance Health Database of Longitudinal Health Insurance Database 2010, this study uses a NoSQL Database - MongoDB, to process characteristics of unstructured data, it transformed originally nearly 200 million medical records, into millions of personal data, not only reduces the amount of data, made them convenient for users to search particular medical information which they are interested. Using the sharding technique, individual date of birth was picked as the basis for sharding, combined with MapReduce operations user can efficiently acquire their target information. The object of this study is to arrange the healthcare information in a timely manner to provide an easy access medical data format to render the patient''s condition, on a visual interface, users can view patient medical detail with few keyboard strokes.