Abstract
Medical data is organically heterogeneous, and it usually varies significantly in both size and composition. Yet, this data is also a key for the recent and promising field of precision medicine, which focuses on identifying and tailoring appropriate medical treatments for the needs of the individual patients, based on their specific conditions, their medical history, lifestyle, genetic, and other individual factors. As we, and a database community at large, recognize that a “one size does not fit all” solution is required to work with such data, we present our observations based on our experiences, and the applications in the field of precision medicine. We make the case for the use of polystore architecture; how it applies for precision medicine; we discuss the reference architecture; describe some of its critical components (array database); and discuss the specific types of analysis that directly benefit from this database architecture, and the ways it serves the data.
Original language | English |
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Title of host publication | Data Management and Analytics for Medicine and Healthcare - 3rd International Workshop, DMAH 2017 Held at VLDB 2017, Proceedings |
Editors | Edmon Begoli, Gang Luo, Fusheng Wang |
Publisher | Springer Verlag |
Pages | 41-52 |
Number of pages | 12 |
ISBN (Print) | 9783319671857 |
DOIs | |
State | Published - 2017 |
Event | 3rd International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017 held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017 - Munich, Germany Duration: Sep 1 2017 → Sep 1 2017 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10494 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 3rd International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017 held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017 |
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Country/Territory | Germany |
City | Munich |
Period | 09/1/17 → 09/1/17 |
Funding
Acknowledgments. This manuscript has been in part authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy, and under a joint program (MVP CHAMPION), between the U.S. Department of Energy, and the U.S. Department of Veterans Affairs.
Keywords
- Array database
- Genomics
- Polystore
- Precision medicine