The optimal diagnostic decision sequence.

Chih Lin Chi; W. Nick Street

The optimal diagnostic decision sequence.

Academics (Nursing)

Research output: Contribution to journal › Article › peer-review

Abstract

We describe a data mining model for constructing an optimal diagnostic sequence that assists cost-effective sequential decisions. We use heuristic search, i.e., hill climbing and genetic algorithms (GAs), and the evaluation function of cost-based Mean Accuracy Gain (cMAG), which is provided by SVM classifiers, to find this optimal sequence. GA can find a good sequence because of the ability to escape from local optima.

Original language	English (US)
Number of pages	1
Journal	AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
State	Published - 2008

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