Importance

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Abstract

A method of assessing risk of an individual for a disease is disclosed. A level of a marker for the disease is detected, and the risk of disease is computed from a statistical analysis of the marker level distributions for tested normal and diseased populations, using multivariate distributions. The computed risk is compared to thresholds to triage the individual into a normal, borderline, or elevated risk group, and a course of action based on the risk group is determined. Memory storing a program for execution on a data processing system, as well as a computer system comprising said memory is also disclosed, the memory comprising a receiver for signals representative of levels of a marker for the disease; a central procesing unit for computing risk of disease from one or more levels of the marker, and for comparing the computed risk to thresholds to triage the individual; and storage medium for the marker levels for subsequent computations of risk of disease.

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First Claim