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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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Mazurowski, Maciej A., Habas, Piotr A., Zurada, Jacek M., Lo, Joseph Y., Baker, Jay A., Tourassi, Georgia D.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: 2007
Θέματα:
Διαθέσιμο Online: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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