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Classifying Spinal Measurements Using a Radial Basis Function Network

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Artificial Neural Networks in Biomedicine

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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Abstract

Injuries to the lumbar region of industrial workers’ spines are relatively commonplace, due, for example, to over-exposure to vibrating machinery and inadequate provisions for heavy lifting. In contrast with earlier decades, management is much more likely to be sued in a court of law if an employee suspects bad management practice. Whereas severe damage to an individual’s lumbar region is usually apparent, typically because of immobility, less severe damage is harder to detect. In such cases a court of law calls for an expert witness to gauge the extent of the damage that an employment environment may inflict on an individual’s spine.

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© 2000 Springer-Verlag London

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Langdell, S.J., Mason, J.C. (2000). Classifying Spinal Measurements Using a Radial Basis Function Network. In: Lisboa, P.J.G., Ifeachor, E.C., Szczepaniak, P.S. (eds) Artificial Neural Networks in Biomedicine. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0487-2_8

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  • DOI: https://doi.org/10.1007/978-1-4471-0487-2_8

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-005-7

  • Online ISBN: 978-1-4471-0487-2

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