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Method and system for determining precursors of health abnormalities from processing medical records

United States Patent

June 25, 2013
View the Complete Patent at the US Patent & Trademark Office
Oak Ridge National Laboratory - Visit the Partnerships Directorate Website
Agent-Based Software for Gathering and Summarizing Textual and Internet Information
Detecting Temporal Precursor Words and Phrases Using a Learning Algorithm and Wavelet Analysis
Medical reports are converted to document vectors in computing apparatus and sampled by applying a maximum variation sampling function including a fitness function to the document vectors to reduce a number of medical records being processed and to increase the diversity of the medical records being processed. Linguistic phrases are extracted from the medical records and converted to s-grams. A Haar wavelet function is applied to the s-grams over the preselected time interval; and the coefficient results of the Haar wavelet function are examined for patterns representing the likelihood of health abnormalities. This confirms certain s-grams as precursors of the health abnormality and a parameter can be calculated in relation to the occurrence of such a health abnormality.
Patton; Robert M. (Knoxville, TN), Potok; Thomas E. (Oak Ridge, TN), Beckerman; Barbara G. (Knoxville, TN)
UT-Battelle, LLC (Oak Ridge, TN)
13/ 033,756
February 24, 2011
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH This invention was made with assistance under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The Government has certain rights in this invention.