Spectral Detection Technique of Blood Species Based on Data Driven Model

LI Hong-xiao; SUN Mei-xiu; XIANG Zhi-guang; WANG Yi; LIN Ling; QIN Chuan; LI Ying-xin

doi:10.3964/j.issn.1000-0593(2018)08-2483-05

Journals >Spectroscopy and Spectral Analysis >Volume 38 >Issue 8 >Page 2483 > Article

Spectroscopy and Spectral Analysis
Vol. 38, Issue 8, 2483 (2018)

Spectral Detection Technique of Blood Species Based on Data Driven Model

LI Hong-xiao^1、*, SUN Mei-xiu¹, XIANG Zhi-guang², WANG Yi³, LIN Ling³, QIN Chuan², and LI Ying-xin¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2018)08-2483-05 Cite this Article

LI Hong-xiao, SUN Mei-xiu, XIANG Zhi-guang, WANG Yi, LIN Ling, QIN Chuan, LI Ying-xin. Spectral Detection Technique of Blood Species Based on Data Driven Model[J]. Spectroscopy and Spectral Analysis, 2018, 38(8): 2483 Copy Citation Text

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References

[1] Jbsis F F. Science, 1977, 198(4323): 1264.

[2] Vashist S K. Analytica Chimica Acta, 2012, 750: 16.

[3] Ding H, Lu Q, Gao H, et al. Biomedical Optics Express, 2014, 5(4): 1145.

[4] Maruo K, Yamada Y. Journal of Biomedical Optics, 2015, 20(4): 47003.

[5] Bazar G, Eles V, Kovacs Z, et al. Talanta, 2016, 155: 202.

[6] Wang L, Mizaikoff B. Analytical and Bioanalytical Chemistry, 2008, 391(5): 1641.

[7] Tanaka H, Katura T. Journal of Biomedical Optics, 2011, 16(8): 87001.

[11] Haykin S. Neural Networks: a Comprehensive Foundation. 2nd ed. Singapore: Pearson Education, 1999.

[12] Murphy K P. Machine Learning: a Probabilistic Perspective. Cambridge, Massachusetts: MIT Press, 2012.

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