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An evolutionary misclassification cost minimization approach for medical diagnosis : a 3D dynamic virtual shop
Pendharkar P., Nanda S., Rodger J., Bhaskar R. In Managing data mining technologies in organizations. Hershey, PA,  Idea Group Publishing,  2003. Type:Book Chapter
Date Reviewed: Jul 23 2003

Two algorithmic approaches to medical diagnosis are described in this paper: linear discriminant analysis and its genetic algorithm-based modification. The authors major contribution is to show how the costs of either false positive or false negative results can be incorporated into the model, with cost minimization as the desired outcome. This differs from the approach of maximizing correct diagnosis, and is a valid construct. In many cases, missing an important diagnosis that is present is much worse than over-diagnosing a condition that is absent.

The bibliography is slanted toward mathematical approaches, and the paper does not reference any of the many systems (for instance, QMR, DXplain, Iliad, or Isabel) that have been widely discussed in medical publications.

Reviewer:  E. P. Hoffer Review #: CR128027 (0310-1148)
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