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Title: PAUSE: Predictive Analytics Using SPARQL-Endpoints

Software ·
OSTI ID:1324318

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.

Short Name / Acronym:
PAUSE; 004921IBMPC00
Version:
00
Programming Language(s):
Medium: X; OS: Windows 7
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
Contributing Organization:
Sreenivas R. Sukumar, Keela Ainsworth, and Nathaniel Bond
DOE Contract Number:
AC05-00OR22725
OSTI ID:
1324318
Country of Origin:
United States

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