Abstract
Pattern classification is an important technique for medical decision making. In this paper, a method based on a new set of orthogonal polynomials is described. The method uses a modified form of supervised learning to assign data to the correct category from two or more possible choices. Results have been compared to standard nonlinear statistical discriminant analysis techniques, and have been shown to be consistently more accurate.
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5. References
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Cohen, M.E., Hudson, D.L. (1987). Use of pattern classification in medical decision making. In: Bouchon, B., Yager, R.R. (eds) Uncertainty in Knowledge-Based Systems. IPMU 1986. Lecture Notes in Computer Science, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18579-8_24
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DOI: https://doi.org/10.1007/3-540-18579-8_24
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