Paper Info
Title
Biomedical Heterogeneous Data Integration and Rank Retrieval using Data Bridges
Abstract
Digitized world demands data integration systems that combine data repositories from multiple data sources. Vast amounts of clinical and biomedical research data are considered a primary force enabling data-driven research toward advancing health research and for introducing efficiencies in healthcare delivery. Data-driven research may have many goals, including but not limited to improved diagnostics processes, novel biomedical discoveries, epidemiology, and education. However, finding and gaining access to relevant data remains an elusive goal. We identified these challenges and developed an Integrated Radiology Image Search (IRIS) framework that could be a step toward aiding data-driven research. We propose building data bridges to support retrieving ranked relevant documents from integrated repository. My research focuses on biomedical data integration and indexing systems and provide ranked document retrieval from an integrated repository. Though we currently focus on integrating biomedical data sources (for medical professionals), we believe that our proposed framework and methodologies can be used in other domains as well.
Year
DOI
Venue
2019
10.1145/3331184.3331417
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Keywords
Field
DocType
biomedical data integration, datasets, information retrieval, medical ontology, metadata indexing, query expansion
Data integration,Data mining,Information retrieval,Computer science
Conference
ISBN
Citations 
PageRank 
978-1-4503-6172-9
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Priya Deshpande122.15