TY - GEN
T1 - The Application of Spark in Medical Multidimensional Data Visualization and Statistical Analysis
AU - Tang, Haijing
AU - Zhou, Yangdong
AU - Wang, Taoyi
AU - Shi, Yongcan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/6
Y1 - 2018/11/6
N2 - With the increasing size, complexity and multidimensionality of medical research data, traditional statistical methods are becoming more and more difficult in analysis. Visualization can present data in an intuitive, visual, and easy-to-read format, which helps medical researchers understand data, and discover scientific views from the interpretation of data. At the same time, as a new parallel computing model, spark technology can also greatly improve the efficiency of the operation. In this article, we explored the application of data visualization methods and spark technology in the study of medical multidimensional data, and developed a visualization scientific discovery platform named datasparking for medical multidimensional data. The platform integrates the functions of interactive chart analysis and statistical analysis methods. It can complete the display of medical multi-dimensional data and analysis of statistical methods, and has the ability to conduct exploratory analysis of medical data. Also, the platform is implemented with Spark as the bottom layer, which improves the efficiency of statistical methods and visualization.
AB - With the increasing size, complexity and multidimensionality of medical research data, traditional statistical methods are becoming more and more difficult in analysis. Visualization can present data in an intuitive, visual, and easy-to-read format, which helps medical researchers understand data, and discover scientific views from the interpretation of data. At the same time, as a new parallel computing model, spark technology can also greatly improve the efficiency of the operation. In this article, we explored the application of data visualization methods and spark technology in the study of medical multidimensional data, and developed a visualization scientific discovery platform named datasparking for medical multidimensional data. The platform integrates the functions of interactive chart analysis and statistical analysis methods. It can complete the display of medical multi-dimensional data and analysis of statistical methods, and has the ability to conduct exploratory analysis of medical data. Also, the platform is implemented with Spark as the bottom layer, which improves the efficiency of statistical methods and visualization.
KW - data visualization
KW - medical data
KW - research discovery
KW - spark
UR - https://www.scopus.com/pages/publications/85058311535
U2 - 10.1109/ICNIDC.2018.8525635
DO - 10.1109/ICNIDC.2018.8525635
M3 - Conference contribution
AN - SCOPUS:85058311535
T3 - Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018
SP - 86
EP - 90
BT - Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018
Y2 - 22 August 2018 through 24 August 2018
ER -