Development of an Interactive Medical Knowledge Graph Based Tool Set

The field of clinical research has reached a turning point in terms of the range and diversity of available data and their potential to improve human health and well-being. However, due to discipline-specific variances in terminology and representation, the data is often compartmentalized, disorgani...

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Veröffentlicht in:Procedia computer science Jg. 221; S. 578 - 584
Hauptverfasser: Xu, Xiaowei, Wang, Xuwen, Wu, Meng, Ma, Hetong, Shen, Liu, Li, Jiao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 2023
Schlagworte:
application programming interface
biomedical data
knowledge graph
visualization
visualization
biomedical data
knowledge graph
application programming interface
ISSN:1877-0509, 1877-0509
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Zusammenfassung:The field of clinical research has reached a turning point in terms of the range and diversity of available data and their potential to improve human health and well-being. However, due to discipline-specific variances in terminology and representation, the data is often compartmentalized, disorganized, and inaccessible to a broad audience. In response to these challenges, we designed and evaluated a pilot knowledge graph-based MedKaaS tool capable of integrating existing clinical datasets and translating those data into insights intended to augment human reasoning and accelerate scientific research. In this paper, we present the architecture and performance of our system, which has been applied to several real-world use cases in collaboration with subject-matter specialists. The MedKaaS Tools are actively developed, with regular updates to performance and features. Our future plans include developing a more user-friendly interface and expanding the visualization capabilities for knowledge exploration.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2023.08.025