• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 6, 1721 (2022)
Ming-xuan WANG*, Qiao-yun WANG*;, Fei-fei PIAN, Peng SHAN, Zhi-gang LI, and Zhen-he MA
Author Affiliations
  • College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
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    DOI: 10.3964/j.issn.1000-0593(2022)06-1721-07 Cite this Article
    Ming-xuan WANG, Qiao-yun WANG, Fei-fei PIAN, Peng SHAN, Zhi-gang LI, Zhen-he MA. Quantitative Analysis of Diabetic Blood Raman Spectroscopy Based on XGBoost[J]. Spectroscopy and Spectral Analysis, 2022, 42(6): 1721 Copy Citation Text show less
    References

    [1] H Abdelhafiz A, J Sinclair A, A Forbes et al. Diabet. Med., 36, 399(2019).

    [2] Rüdiger Heinz, Li Kai, Ziemssen Tjalf. Frontiers in Neurology, 10, 545(2019).

    [3] C Guestrin, T C Chen. XGBoost: A Scalable Tree Boosting System. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 785(2016).

    [8] Wei Peng, Yusui Sun, Jianchen Zhong et al. IEEE Trans Nanobioscience, 17, 243(2018).

    [9] Wong Yiik Diew, Shi Xiupeng, Zhi-Feng Li Michael et al. Accident Analysis and Prevention, 129, 170(2019).

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    Ming-xuan WANG, Qiao-yun WANG, Fei-fei PIAN, Peng SHAN, Zhi-gang LI, Zhen-he MA. Quantitative Analysis of Diabetic Blood Raman Spectroscopy Based on XGBoost[J]. Spectroscopy and Spectral Analysis, 2022, 42(6): 1721
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