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Research on Prediction Method of Endocrine Diseases Based on DBN Na D

Authors

  • Na Dong Email China Medical University

DOI:

https://doi.org/10.30564/jer.v1i1.236
Received: 31 October 2018

Abstract

In the continuous development of computer technology, the medical field
began to apply this technology when it predicted disease, and promoted the good development of the medical industry. In recent years, the latest in machine learning research is Deep Belief Nets (DBN). Therefore, this paper analyzes the methods for predicting endocrine diseases on the basis of DBN.

Keywords:

DBN, Endocrine disease, Prediction Method

References

[1] Zichen Li, Shengwei Tian, Jiangyue Liu, et al. Prediction of PD pathogenicity based on deep learning[J].Computer Applications & Software, 2017, 34(09): 183-187.

[2] Dehua Chen, Dongyang Zhou, Jiajin Le. Study on the benign and malignant prediction methods of thyroid nodules based on deep learning[J].Microcomputer & Applications, 2017, 36(12):13-15.

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