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

Patent ·
OSTI ID:1086944
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.
Research Organization:
ORNL (Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States))
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-00OR22725
Assignee:
UT-Battelle, LLC (Oak Ridge, TN)
Patent Number(s):
8,473,314
Application Number:
13/033,756
OSTI ID:
1086944
Country of Publication:
United States
Language:
English

References (2)

A genetic algorithm for learning significant phrase patterns in radiology reports
  • Patton, Robert M.; Potok, Thomas E.; Beckerman, Barbara G.
  • Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference - GECCO '09 https://doi.org/10.1145/1570256.1570380
conference January 2009
Analysis of mammography reports using maximum variation sampling
  • Patton, Robert M.; Beckerman, Barbara; Potok, Thomas E.
  • Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation - GECCO '08 https://doi.org/10.1145/1388969.1389022
conference January 2008

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Related Subjects

96 KNOWLEDGE MANAGEMENT AND PRESERVATION
97 MATHEMATICS AND COMPUTING