Graph Database on Medical Research Data for Integrated Life Science Research
Aly Lamuri, Randy Sarayar, Jonathan Purba, Adrian Sudirman
2019
Abstract
Indonesia has experienced an increasing surge of published scientific articles in recent years. In medical science, published articles greatly vary from both pre-clinical and clinical studies, where each study possesses a different methodological approach and hypothetical premise. However, some articles do not include rigorous documentation to make it reproducible. Moreover, the lack of centralized database further impedes researcher from reanalysing previous findings and integrating them with the new study. This paper delineates such an issue by constructing a graph database to centralize and integrate clinical research data. The database is constructed using Neo4j and cypher querying language and populated with 5,000 medical records generated by the synthea program. We address the viabilities of our proposed data curation method by simulating data of different sizes. Our database was able to answer queries requiring complex relationships while minimizing the amount of database hits. We conclude that graph databases are quite performant for solving data integration and centralization issues faced by life science research institutes.
DownloadPaper Citation
in Harvard Style
Lamuri A., Sarayar R., Purba J. and Sudirman A. (2019). Graph Database on Medical Research Data for Integrated Life Science Research.In Proceedings of the 4th Annual International Conference and Exhibition on Indonesian Medical Education and Research Institute - Volume 1: The 4th ICE on IMERI, ISBN 978-989-758-433-6, pages 5-11. DOI: 10.5220/0009387000050011
in Bibtex Style
@conference{the 4th ice on imeri19,
author={Aly Lamuri and Randy Sarayar and Jonathan Purba and Adrian Sudirman},
title={Graph Database on Medical Research Data for Integrated Life Science Research},
booktitle={Proceedings of the 4th Annual International Conference and Exhibition on Indonesian Medical Education and Research Institute - Volume 1: The 4th ICE on IMERI,},
year={2019},
pages={5-11},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009387000050011},
isbn={978-989-758-433-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 4th Annual International Conference and Exhibition on Indonesian Medical Education and Research Institute - Volume 1: The 4th ICE on IMERI,
TI - Graph Database on Medical Research Data for Integrated Life Science Research
SN - 978-989-758-433-6
AU - Lamuri A.
AU - Sarayar R.
AU - Purba J.
AU - Sudirman A.
PY - 2019
SP - 5
EP - 11
DO - 10.5220/0009387000050011