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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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| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2007
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| Ämnen: | |
| Länkar: | 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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