The optimal diagnostic decision sequence.
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- AMIA ... Annual Symposium proceedings. AMIA Symposium
دوره شماره
صفحات -
تاریخ انتشار 2008