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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