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Intelligent mining algorithm for complex medical data based on deep learning

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Abstract

In order to address the problems of low precision, long time-consuming and low recall rate in mining complex attribute medical data in medical information, an intelligent mining algorithm for complex attribute medical data based on deep learning is proposed. Discretized medical data with complex attributes and converted it into a data type suitable for deep learning research, the convolutional neural network is used to analyze the association mapping relationship between complex attribute medical data sets and extract association rules of data. According to the degree of association between complex attribute medical data sets in multi-dimensional subspace to realize the effective mining of complex attribute medical data. The results show that the proposed algorithm takes less time and can extract association rules accurately, the data priority control efficiency is higher, the data mining accuracy is better, and the data mining recall rate is much higher than other methods, which verifies the feasibility of the proposed algorithm.

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Acknowledgements

This work was supported by National Natural Science Foundation of China under Grant number 10471144, Ministry of Education Science and Technology Development Center under Grant number 2018A01002, China Postdoctoral Science Foundation under Grant number 2017M610852, Humanities and Social Sciences Foundation of the Ministry of Education under grant number 15YJC890004 and Jilin Provincial Social Science Foundation under Grant number 2016A5.

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Authors and Affiliations

  1. Department of Information Engineering, Heilongjiang International University, Harbin, 150025, China

    Xiaofeng Li

  2. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China

    Dong Li

  3. College of Mathematics and Econometrics, Hunan University, Changsha, 410082, China

    Yuanbei Deng

  4. School of Physical Education, Northeast Normal University, Changchun, 130024, China

    Jinming Xing

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  1. Xiaofeng Li
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  2. Dong Li
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  3. Yuanbei Deng
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  4. Jinming Xing
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Correspondence to Xiaofeng Li.

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Li, X., Li, D., Deng, Y. et al. Intelligent mining algorithm for complex medical data based on deep learning. J Ambient Intell Human Comput 12, 1667–1678 (2021). https://doi.org/10.1007/s12652-020-02239-w

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  • DOI: https://doi.org/10.1007/s12652-020-02239-w

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