U.S. patents available from 1976 to present.
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System and method for predicting disease onset

Patent 6110109 Issued on August 29, 2000. Estimated Expiration Date: Icon_subject March 26, 2019. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

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Inventors

Assignee

Application

No. 277257 filed on 03/26/1999

US Classes:

600/300, DIAGNOSTIC TESTING128/920, COMPUTER ASSISTED MEDICAL DIAGNOSTICS128/923By comparison of patient data to other data

Examiners

Primary: O'Connor, Cary E.
Assistant: Carter, Ryan

Attorney, Agent or Firm

Foreign Patent References

  • WO 93/12255 WO. 06/21/1993
  • WO 96/12187 WO. 04/21/1996

International Class

A61B 005/00

Abstract

A method and apparatus for assessing a person's disease status is provided using a plurality of disease prediction factors for that person and applying a multivariate disease prediction equation to the data to assess the disease status of that person. The multivariate disease prediction equation includes the contribution for each disease prediction factor in a comprehensive set of disease prediction factors. Each of the plurality of disease prediction factors for which data are available from the test person is included in the comprehensive set. The multivariate disease prediction equation is obtained by(a) obtaining disease association data for each disease prediction factor in a first subset of the comprehensive set of disease prediction factors that are used in the multivariate disease prediction equation;(b) obtaining additional disease association data for each disease prediction factor in at least one additional subset of the comprehensive set of disease prediction factors;(c) obtaining cross-correlation data between each of the disease prediction factors in the comprehensive set, the cross-correlation data being obtained from a database in which all of the disease prediction factors in the comprehensive set are included; and(d) using the disease association data together with the cross-correlation data to develop the multivariate disease prediction equation.

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