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Adaptive Swarm Balancing Algorithms for rare-event prediction in imbalanced healthcare data
Clinical data analysis and forecasting have made substantial contributions to disease control, prevention and detection. However, such data usually suffer from highly imbalanced samples in class distributions. In this paper, we aim to formulate effective methods to rebalance binary imbalanced datase...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5533448/ https://ncbi.nlm.nih.gov/pubmed/28753613 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0180830 |
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