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Prediction of Scoliosis Progression in Time Series Using a Hybrid Learning Technique

Hongfa Wu, Janet L. Ronsky, Philippe Poncet, Farida Cheriet, Xue Deyi, James A. Harder and Ronald F. Zernicke

Paper (2006)

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Department: Department of Computer Engineering and Software Engineering
Funders: Fraternal Order of Eagles (Alberta and Saskatchewan), Arthritis Society of Canada, Canadian Institutes for Health Research, Natural Sciences and Engineering Research Council of Canada (NSERC)
ISBN: 0780387414
PolyPublie URL: https://publications.polymtl.ca/75579/
Conference Title: 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Conference Location: Shanghai, China
Conference Date(s): 2006-01-17 - 2006-01-18
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/iembs.2005.1615976
Official URL: https://doi.org/10.1109/iembs.2005.1615976
Date Deposited: 29 Apr 2026 09:59
Last Modified: 29 Apr 2026 09:59
Cite in APA 7: Wu, H., Ronsky, J. L., Poncet, P., Cheriet, F., Deyi, X., Harder, J. A., & Zernicke, R. F. (2006, January). Prediction of Scoliosis Progression in Time Series Using a Hybrid Learning Technique [Paper]. 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai, China. https://doi.org/10.1109/iembs.2005.1615976

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