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Title: PAUSE: Predictive Analytics Using SPARQL-Endpoints

This invention relates to the medical industry and more specifically to methods of predicting risks. With the impetus towards personalized and evidence-based medicine, the need for a framework to analyze/interpret quantitative measurements (blood work, toxicology, etc.) with qualitative descriptions (specialist reports after reading images, bio-medical knowledgebase, etc.) to predict diagnostic risks is fast emerging. We describe a software solution that leverages hardware for scalable in-memory analytics and applies next-generation semantic query tools on medical data.
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Publication Date:
OSTI Identifier:
Report Number(s):
PAUSE; 004921IBMPC00
DOE Contract Number:
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Source Code Available:
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
Contributing Orgs:
Sreenivas R. Sukumar, Keela Ainsworth, and Nathaniel Bond
Country of Publication:
United States

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