skip to main content

SciTech ConnectSciTech Connect

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.
; ;
Publication Date:
OSTI Identifier:
Report Number(s):
PAUSE; 004921IBMPC00
DOE Contract Number:
Software Revision:
Software Package Number:
Software CPU:
Source Code Available:
Research Org:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
Contributing Orgs:
Sreenivas R. Sukumar, Keela Ainsworth, and Nathaniel Bond
Country of Publication:
United States

To initiate an order for this software, request consultation services, or receive further information, fill out the request form below. You may also reach us by email at: .

ESTSC staff will begin to process an order for scientific and technical software once the payment and signed site license agreement are received. If the forms are not in order, ESTSC will contact you. No further action will be taken until all required information and/or payment is received. Orders are processed within three to five business days.

Software Request