Benchmarking diagnostic algorithms

Details Benchmarking diagnostic algorithms Benchmarking diagnostic algorithms

2011-08-02

2011-08-02

Bhat, Aditya (Department: 2857)

Data processing: measuring, calibrating, or testing

Measurement system

Statistical measurement

Reexamination Certificate

active

07991580

ABSTRACT:
A method for benchmarking diagnostic algorithms for a particular application is provided. The diagnostic algorithms are rank ordered based on a specified criterion so as to weed out weak algorithms, selecting more robust algorithms, defined in some sense, for deployment. This is realized by evaluating various parameters subsequently mentioned. A normalized product entropy ratio parameter is obtained. A performance parameter vector is fixed to define a plurality of sensitivity parameters including a plurality of threshold parameters and a plurality of data parameters. The plurality of threshold parameters and the plurality of data parameters are perturbed to obtain a threshold sensitivity parameter and a data sensitivity parameter.

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