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Bioinformatic approach to disease diagnosis

  • US 8,005,627 B2
  • Filed: 09/08/2007
  • Issued: 08/23/2011
  • Est. Priority Date: 09/08/2006
  • Status: Active Grant
First Claim
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1. A method for constructing a multivariate predictive model for diagnosing a disease for which a plurality of test methods are individually inadequate, said method comprising:

  • (a) performing a panel of laboratory tests for diagnosing said disease on a test population comprising a statistically significant sample of individuals with at least one objective sign of disease and a statistically significant control sample of healthy individuals or persons with cross-reacting medical conditions;

    (b) generating, by a computer, a score function from a linear combination of said test panel results, said linear combination expressed as β

    TY , wherein D is the disease;

    Y1, . . . , Yk is a set of K diagnostic tests for D;

    Y is a vector of diagnostic test results {Y1, . . . , Yk};

    D′

    =not D;

    β

    is a vector of coefficients {β

    1, . . . , β

    k}for Y; and

    β

    T is the transpose of β

    ;

    (c) performing, by the computer, a receiver operating characteristic (ROC) regression or alternative regression technique of the score function, wherein the test panel is selected and β

    coefficients are calculated simultaneously to maximize the area under the curve (AUC) of the empiric ROC as approximated by;

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