Classification of risk areas using a bootstrap-aggregated ensemble approach for reducing Zika virus infection in pregnant women
Pattern Recognition Letters(2019)
摘要
•Use of the bootstrap-aggregated ensemble algorithm for pattern recognition.•Recognition of high-risk areas using open real data concerning Zika virus incidence.•Use of an ensemble learning approach for precision improvement during classification.•Performance evaluation using 10-fold cross-validation and confusion matrix indicators.
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关键词
Artificial intelligence,Epidemic risk areas recognition,Cross-validation,Ensemble learning
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