An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival
Abstract Background Cancer is the second leading cause of death in the United States, exceeded only by heart disease. Extant cancer survival analyses have primarily focused on individual-level factors due to limited data availability from a single data source. There is a need to integrate data from...
Main Authors: | Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth Shenkman, François Modave, Jiang Bian |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-07-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12911-018-0636-4 |
Similar Items
-
Geospatial data ontology: the semantic foundation of geospatial data integration and sharing
by: Kai Sun, et al.
Published: (2019-07-01) -
An approach for semantic integration of heterogeneous data sources
by: Giuseppe Fusco, et al.
Published: (2020-03-01) -
Semi-Automatic Definition of Attribute Semantics for the Purpose of Ontology Integration
by: Bogumila Hnatkowska, et al.
Published: (2020-01-01) -
Semantic Integration of Heterogeneous Databases of Same Domain Using Ontology
by: Muhammad Asfand-E-Yar, et al.
Published: (2020-01-01) -
Biological Ontologies and Semantic Biology
by: John eHancock
Published: (2014-02-01)