A Two-Step Knowledge Extraction Framework for Improving Disease Diagnosis
The Computer Journal(2020)
摘要
In the last decades, various methodologies have been proposed by the researchers for developing effective disease diagnosis support systems (DDSSs). The present research proposes a two-step framework in which an entropy-based feature-selection approach is introduced in the first step and a rule-base hybrid model using Perfect Rule Induction by Sequential Method (PRISM) is explored in the subsequen...
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关键词
feature-selection,hybrid-model,disease-prediction,accuracy
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