TY - GEN
T1 - A Unified Cloud-Native Architecture for Heterogeneous Data Aggregation and Computation
AU - Rouzbeh, Fatemeh
AU - Grama, Ananth
AU - Griffin, Paul
AU - Adibuzzaman, Mohammad
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/9/21
Y1 - 2020/9/21
N2 - Improving healthcare depends on collecting and analyzing different types of health related data such as Electronic Health Records (EHR), Patient Generated Health Data (PGHD), prescription and medication data and medical image data. Even though different solutions in terms of storage and processing have been designed and developed but each solution is usually designed for a specific type of data. Storing, processing, and analyzing all types of data using a single solution necessarily doesn't result in best performance and quality of analysis. To acquire the better quality, each types of data requires its own type of storage, data processing and machine learning solutions which cannot be integrated as a unified system in some cases. In order to have a unified system that serves all types of data we propose a modular cloud native architecture with autonomous modules in terms of control, deployment and management for each types of data.
AB - Improving healthcare depends on collecting and analyzing different types of health related data such as Electronic Health Records (EHR), Patient Generated Health Data (PGHD), prescription and medication data and medical image data. Even though different solutions in terms of storage and processing have been designed and developed but each solution is usually designed for a specific type of data. Storing, processing, and analyzing all types of data using a single solution necessarily doesn't result in best performance and quality of analysis. To acquire the better quality, each types of data requires its own type of storage, data processing and machine learning solutions which cannot be integrated as a unified system in some cases. In order to have a unified system that serves all types of data we propose a modular cloud native architecture with autonomous modules in terms of control, deployment and management for each types of data.
UR - http://www.scopus.com/inward/record.url?scp=85096992039&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096992039&partnerID=8YFLogxK
U2 - 10.1145/3388440.3414911
DO - 10.1145/3388440.3414911
M3 - Conference contribution
AN - SCOPUS:85096992039
T3 - Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2020
BT - Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2020
PB - Association for Computing Machinery, Inc
T2 - 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2020
Y2 - 21 September 2020 through 24 September 2020
ER -