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Computer assisted methods for diagnosing diseases

  • US 6,306,087 B1
  • Filed: 01/10/2000
  • Issued: 10/23/2001
  • Est. Priority Date: 10/13/1994
  • Status: Expired due to Term
First Claim
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1. A method for constructing a computer-based neural network based classifier for the diagnosis and prognosis of a disease for use in a trained neural network, comprising:

  • initially selecting primary biomarker inputs for the neural network that are relevant to the disease, wherein selecting the relevant biomarkers are dependent upon current biomedical science;

    testing for discriminating power of the selected primary biomarker inputs and removing any biomarker input that does not exhibit discriminating power;

    grouping the primary biomarker inputs having like properties into subsets;

    preprocessing the primary biomarker inputs by combining at least two primary biomarker inputs to create secondary biomarker inputs;

    testing the discriminating power of the primary and secondary biomarker inputs;

    selecting the primary and secondary biomarker inputs with the highest discriminating power;

    creating neural network-based classifiers by combining the selected primary and secondary biomarker inputs;

    evaluating an individual neural network-based classifier against test data to rank the contribution of the individual primary and secondary biomarker inputs; and

    selecting the best trained neural network classifier.

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