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International Conference on Neural Information Processing

ICONIP 2017: Neural Information Processing pp 774–781Cite as

Prediction of Stroke Using Deep Learning Model

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10638))

Abstract

Many predictive techniques have been widely applied in clinical decision making such as predicting occurrence of a disease or diagnosis, evaluating prognosis or outcome of diseases and assisting clinicians to recommend treatment of diseases. However, the conventional predictive models or techniques are still not effective enough in capturing the underlying knowledge because it is incapable of simulating the complexity on feature representation of the medical problem domains. This research reports predictive analytical techniques for stroke using deep learning model applied on heart disease dataset. The atrial fibrillation symptoms in heart patients are a major risk factor of stroke and share common variables to predict stroke. The outcomes of this research are more accurate than medical scoring systems currently in use for warning heart patients if they are likely to develop stroke.

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Author information

Authors and Affiliations

  1. Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, PO BOX 123, Broadway, NSW, 2007, Australia

    Pattanapong Chantamit-o-pas & Madhu Goyal

Authors
  1. Pattanapong Chantamit-o-pas
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  2. Madhu Goyal
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Corresponding author

Correspondence to Pattanapong Chantamit-o-pas .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli Xie

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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Chantamit-o-pas, P., Goyal, M. (2017). Prediction of Stroke Using Deep Learning Model. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10638. Springer, Cham. https://doi.org/10.1007/978-3-319-70139-4_78

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  • DOI: https://doi.org/10.1007/978-3-319-70139-4_78

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70138-7

  • Online ISBN: 978-3-319-70139-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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