1 July 1992 Application of the clinical matrix to the diagnosis of leukemia
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Abstract
A system for diagnosing leukemia subtypes has been formulated using neural networks. The statistical data of the symptoms collected by hematologists is fed into a single training set using a neural network, where the network is trained by using fast backpropagation algorithm, which when done can help the general practitioners for making diagnoses on the basis of signs and symptoms alone.
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Sampath Y. Pakkala, Sampath Y. Pakkala, Frank C. Lin, Frank C. Lin, } "Application of the clinical matrix to the diagnosis of leukemia", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140129; https://doi.org/10.1117/12.140129
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