Haar Wavelets for Efficient Similarity Search of Time-Series: With and Without Time Warping
IEEE Transactions on Knowledge and Data Engineering
Analysis of mammography reports using maximum variation sampling
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
A genetic algorithm for learning significant phrase patterns in radiology reports
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
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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 mammogram 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 cancer and other breast abnormalities.