Discovering Potential Precursors of Mammography Abnormalities based on Textual Features, Frequencies, and Sequences

Conference · Fri Jan 01 04:00:00 EST 2010

DOI:https://doi.org/10.1007/978-3-642-13208-7_82· OSTI ID:986826

Patton, Robert M ^[1]; Potok, Thomas E ^[1]

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1. ORNL

Diagnosing breast cancer from mammography reports is heavily dependant on the time sequences of the patient visits. In the work described, we take a longitudinal view of the text of a patient s mam- mogram reports to explore the existence of certain phrase patterns that indicate future abnormalities may exist for the patient. Our approach uses various text analysis techniques combined with Haar wavelets for the discovery and analysis of such precursor phrase patterns. We believe the results show significant promise for the early detection of breast can- cer and other breast abnormalities.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: ORNL LDRD Director's R&D
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 986826
• Country of Publication: United States
• Language: English