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An intelligent method of cancer prediction based on mobile cloud computing

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Abstract

In recent years, mobile medical services have gradually become the common focus of the communications and healthcare industries. People can get medical information and services efficiently and conveniently anytime, anywhere. However, due to the limitations of the mobile terminal’s own computing and storage capabilities, mobile therapy is greatly challenged. Therefore, we propose a mobile medical health system based on cloud computing. Firstly, principal component analysis was used to obtain representative features. Then, a simplified feature subset was applied to support vector machine (SVM) based on Sigmoid kernel function. The data set was categorized by SVM as cancer patient and normal object experimental results show that the method is improved in accuracy, sensitivity, and specificity.

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Acknowledgements

This work is supported by the National Science Foundation of China (Grant Nos. 61501132, 61771154, 61370084), the China Postdoctoral Science Foundation No. 2016M591515, the Heilongjiang Postdoctoral Sustentation Fund with No. LBH-Z14055, Harbin Application Technology Research and Development Project (Grant Nos. 2016RAQXJ063, 2016RAXXJ013).

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Authors and Affiliations

  1. College of Computer Science and Technology, Harbin Engineering University, Harbin, China

    Guoyin Zhang, Liang Kou, Ye Yuan, Jianguo Sun, Qingan Da & Wenshan Wang

  2. College of Information and Communication Engineering, Harbin Engineering University, Harbin, China

    Yun Lin

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  1. Guoyin Zhang
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  2. Liang Kou
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  3. Ye Yuan
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  4. Jianguo Sun
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  5. Yun Lin
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  6. Qingan Da
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  7. Wenshan Wang
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Correspondence to Yun Lin.

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Zhang, G., Kou, L., Yuan, Y. et al. An intelligent method of cancer prediction based on mobile cloud computing. Cluster Comput 22 (Suppl 5), 11527–11535 (2019). https://doi.org/10.1007/s10586-017-1416-0

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  • DOI: https://doi.org/10.1007/s10586-017-1416-0

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