Blood hyperviscosity identification with reflective spectroscopy of tongue tip based on principal component analysis combining artificial neural network-Reference-Cited by-同舟云学术

Blood hyperviscosity identification with reflective spectroscopy of tongue tip based on principal component analysis combining artificial neural network

Published:2018-05-10 Issue:1 Volume:17 Page:
ISSN:1475-925X
Container-title:BioMedical Engineering OnLine
language:en
Short-container-title:BioMed Eng OnLine

Author:

Liu Ming^ORCID,Zhao Jing,Lu XiaoZuo,Li Gang,Wu Taixia,Zhang LiFu

Funder

National Natural Science Foundation of China

The youth of Peking Union Medical College

CAMS Innovation Fund for Medical Sciences

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,General Medicine,Biomaterials,Radiological and Ultrasound Technology

Link

http://link.springer.com/content/pdf/10.1186/s12938-018-0495-3.pdf

Reference16 articles.

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3. Presti RL, Hopps E, Caimi G. Hemorheological abnormalities in human arterial hypertension. KoreaAust Rheol J. 2014;26(2):199–204.

4. Sloop G, Holsworth RE, Weidman JJ, et al. The role of chronic hyperviscosity in vascular disease. Ther Adv Cardiovasc Dis. 2015;9(1):19–25.

5. Kisimbi J, Shalchi Z, Mahroo OA, et al. Macular spectral domain optical coherence tomography findings in Tanzanian endemic optic neuropathy. Brain. 2013;136(11):3418–26.

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