Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification

BACKGROUND: An imbalanced dataset is defined as a training dataset that has imbalanced proportions of data in both interesting and uninteresting classes. Often in biomedical applications, samples from the stimulating class are rare in a population, such as medical anomalies, positive clinical tests,...

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Detalles Bibliográficos
Autores principales: Li, Jinyan, Fong, Simon, Sung, Yunsick, Cho, Kyungeun, Wong, Raymond, Wong, Kelvin K. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131504/
https://www.ncbi.nlm.nih.gov/pubmed/27980678
http://dx.doi.org/10.1186/s13040-016-0117-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131504/
https://www.ncbi.nlm.nih.gov/pubmed/27980678
http://dx.doi.org/10.1186/s13040-016-0117-1

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