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Erschienen in: European Radiology 5/2019

09.11.2018 | Letter to the Editor

Use of artificial neural networks to predict anterior communicating artery aneurysm rupture: possible methodological considerations

verfasst von: Guido Adriaan de Jong, René Aquarius

Erschienen in: European Radiology | Ausgabe 5/2019

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Key Points

  • Use of algorithms to generate synthetic cases might result in a misrepresentation of the entire population.
  • Training an artificial neural network with a mix of real and synthetic data might lead to non-realistic prediction precision.
Literatur
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Zurück zum Zitat He H, Bai Y, Garcia EA, Li S (2008) ADASYN: adaptive synthetic sampling approach for imbalanced learning. IEEE International Joint Conference on Neural Networks, pp 1322–1328 He H, Bai Y, Garcia EA, Li S (2008) ADASYN: adaptive synthetic sampling approach for imbalanced learning. IEEE International Joint Conference on Neural Networks, pp 1322–1328
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Zurück zum Zitat Tang B, He H (2015) KernelADASYN: kernel based adaptive synthetic data generation for imbalanced learning. IEEE Congress on Evolutionary Computation, pp 664–671 Tang B, He H (2015) KernelADASYN: kernel based adaptive synthetic data generation for imbalanced learning. IEEE Congress on Evolutionary Computation, pp 664–671
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Zurück zum Zitat Srivastava N, Hinton G, Krizhevsky A, Sutskever I, Salakhutdinov R (2014) Dropout: a simple way to prevent neural networks from overfitting. J Mach Learn Res 15:1929–1958 Srivastava N, Hinton G, Krizhevsky A, Sutskever I, Salakhutdinov R (2014) Dropout: a simple way to prevent neural networks from overfitting. J Mach Learn Res 15:1929–1958
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Zurück zum Zitat Boughorbel S, Jarray F, El-Anbari M (2017) Optimal classifier for imbalanced data using Matthews correlation coefficient metric. PLoS One 12:1–17CrossRef Boughorbel S, Jarray F, El-Anbari M (2017) Optimal classifier for imbalanced data using Matthews correlation coefficient metric. PLoS One 12:1–17CrossRef
Metadaten
Titel
Use of artificial neural networks to predict anterior communicating artery aneurysm rupture: possible methodological considerations
verfasst von
Guido Adriaan de Jong
René Aquarius
Publikationsdatum
09.11.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 5/2019
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-018-5794-3

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