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Reply to “letter to the editor: use of artificial neural networks to predict anterior communicating artery aneurysm rupture: possible methodological issues”

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The Original Article was published on 09 November 2018

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References

  1. He H, Bai Y, Garcia EA, Li S (2008) ADASYN: Adaptive synthetic sampling approach for imbalanced learningIEEE International Joint Conference on Neural Networks, pp 1322–1328

  2. 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

    Google Scholar 

  3. Boughorbel S, Jarray F, Elanbari M (2017) Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric. PLoS One 12:e0177678

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Krawczyk B (2016) Learning from imbalanced data: open challenges and future directions. Prog Artif Intell 5:221–232

    Article  Google Scholar 

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Funding

The authors state that this work has not received any funding.

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Authors and Affiliations

  1. Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

    Jinjin Liu & Yunjun Yang

  2. Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200000, China

    Bing Zhao

Authors
  1. Jinjin Liu
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  2. Yunjun Yang
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  3. Bing Zhao
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Corresponding authors

Correspondence to Yunjun Yang or Bing Zhao.

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Guarantor

The scientific guarantor of this publication is Bing Zhao.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was not required for this study because this is just a response letter to discuss the imbalanced data issue in machine learning.

Ethical approval

Institutional Review Board approval was not required because this is just a response letter to discuss the imbalanced data issue in machine learning.

Methodology

• performed at one institution

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Liu, J., Yang, Y. & Zhao, B. Reply to “letter to the editor: use of artificial neural networks to predict anterior communicating artery aneurysm rupture: possible methodological issues”. Eur Radiol 29, 3317–3318 (2019). https://doi.org/10.1007/s00330-018-5795-2

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  • DOI: https://doi.org/10.1007/s00330-018-5795-2

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