Spectroscopy and Spectral Analysis, Volume. 42, Issue 6, 1721(2022)
Quantitative Analysis of Diabetic Blood Raman Spectroscopy Based on XGBoost
References(5)
[1] H Abdelhafiz A, A Forbes, J Sinclair A et al. Diabet. Med., 36, 399(2019).
[2] Rüdiger Heinz, Li Kai, Ziemssen Tjalf. Frontiers in Neurology, 10, 545(2019).
[3] T C Chen, C Guestrin. 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] Zhi-Feng Li Michael, Shi Xiupeng, Wong Yiik Diew et al. Accident Analysis and Prevention, 129, 170(2019).
Tools
Get Citation
Copy Citation Text
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
Paper Information
Category: Research Articles
Received: May. 26, 2021
Accepted: --
Published Online: Nov. 14, 2022
The Author Email: WANG Ming-xuan (1163886570@qq.com)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20