Paper Info
Title
Implementation of Data Transform Method into NoSQL Database for Healthcare Data
Abstract
Currently, most health care systems used among divisions in medical centers still adopt the Excel file format for a variety of scales statistics, such as the clinical self-care ability scale for Functional Independence Measure. Although people can further analyze Excel files using other statistical analysis software, such as SAS, SPSS, and STATA, they cannot effectively share the archived data in Excel among divisions. We propose to do format conversion on these data and store them in a database. As the collection of Excel files cannot be shared with ease, we plan to use HBase, a non-relational database, to further integrate data. The purpose of this paper is to construct complete import tools and solutions based on HBase to facilitate easy access of data in HBase. Besides, a visual interface is also used to manage HBase to implement user friendly client connection tools for the HBase database.
Year
DOI
Venue
2013
10.1109/PDCAT.2013.38
PDCAT
Keywords
Field
DocType
medical information systems,health care,user friendly client connection tools,not only sql databases,functional independence measure,health care systems,key-value store,medical centers,storage management,hbase management,hbase,nonrelational database,electronic data interchange,clinical self-care ability scale,nosql database,statistical analysis software,healthcare,hbase database,hadoop,excel file format
File format,Health care,Visual interface,Computer science,Software,NoSQL,Associative array,User Friendly,Database,Statistical analysis
Conference
ISBN
Citations 
PageRank 
978-1-4799-2418-9
2
0.37
References 
Authors
6
5
Name
Order
Citations
PageRank
Chao-Tung Yang11196139.50
Jung-Chun Liu223333.10
Wen-Hung Hsu391.58
Hsin-Wen Lu461.17
William Cheng-Chung Chu59217.67