Literature Mining and Ontology Mapping Applied to Big Data
Abstract
Discovering the network of associations and relationships among diseases, genes, and risk factors is critical in clinical and translational research. The goal of this study was to design a system that would enable strategic reading/filtering and reduce information overload, generate new hypotheses, bridge the knowledge gap, and develop “smart apps.” We present the implementation of a text analytic system, Adaptive Robust and Integrative Analysis for Finding Novel Associations (ARIANA). The system is context-specific, modular, and scalable and able to capture direct and indirect associations among 2,545 biomedical concepts. An ...
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