Spectroscopy and Spectral Analysis, Volume. 42, Issue 6, 1721(2022)
Quantitative Analysis of Diabetic Blood Raman Spectroscopy Based on XGBoost
References(5)
[1] Abdelhafiz A H, Forbes A, Sinclair A J et al[D]. Diabet. Med., 36, 399(2019).
[2] Heinz Rüdiger, Kai Li, Tjalf Ziemssen[D]. Frontiers in Neurology, 10, 545(2019).
[3] Chen T C, Guestrin C[D]. XGBoost: A Scalable Tree Boosting System. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 785(2016).
[8] Peng Wei, Sun Yusui, Zhong Jianchen et al[D]. IEEE Trans Nanobioscience, 17, 243(2018).
[9] Michael Zhi-Feng Li, Xiupeng Shi, Yiik Diew Wong et al[D]. 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
Paper Information
Category: Research Articles
Received: May. 26, 2021
Accepted: --
Published Online: Nov. 14, 2022
The Author Email: Ming-xuan WANG (1163886570@qq.com)
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