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Training Neural Network Classifiers for Medical Decision Making: The Effects of Imbalanced Datasets on Classification Performance

This study investigates the effect of class imbalance in training data when developing neural network classifiers for computer aided medical diagnosis. The investigation is performed in the presence of other characteristics that are typical among medical data, namely small training sample size, larg...

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Autors principals: Mazurowski, Maciej A., Habas, Piotr A., Zurada, Jacek M., Lo, Joseph Y., Baker, Jay A., Tourassi, Georgia D.
Format: Artigo
Idioma:Inglês
Publicat: 2007
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC2346433/
https://ncbi.nlm.nih.gov/pubmed/18272329
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neunet.2007.12.031
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