Method and system for determining precursors of health abnormalities from processing medical records
Abstract
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.
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1086944
- Patent Number(s):
- 8473314
- Application Number:
- 13/033,756
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN)
- Patent Classifications (CPCs):
-
G - PHYSICS G16 - INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS G16H - HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 96 KNOWLEDGE MANAGEMENT AND PRESERVATION; 97 MATHEMATICS AND COMPUTING
Citation Formats
None, None. Method and system for determining precursors of health abnormalities from processing medical records. United States: N. p., 2013.
Web.
None, None. Method and system for determining precursors of health abnormalities from processing medical records. United States.
None, None. Tue .
"Method and system for determining precursors of health abnormalities from processing medical records". United States. https://www.osti.gov/servlets/purl/1086944.
@article{osti_1086944,
title = {Method and system for determining precursors of health abnormalities from processing medical records},
author = {None, None},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {6}
}
Works referenced in this record:
A genetic algorithm for learning significant phrase patterns in radiology reports
conference, January 2009
- Patton, Robert M.; Potok, Thomas E.; Beckerman, Barbara G.
- Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference - GECCO '09
Analysis of mammography reports using maximum variation sampling
conference, January 2008
- Patton, Robert M.; Beckerman, Barbara; Potok, Thomas E.
- Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation - GECCO '08