Raman spectroscopy combined with multiple algorithms for analysis and rapid screening of chronic renal failure

•Raman spectroscopy combined with multivariate statistical methods is proposed to screen chronic renal failure (CRF) patients.•The high diagnostic accuracy of PCA-GS-SVM illustrated the potential of using serum Raman spectra for diagnosing CRF patients.•The results demonstrated great potentials for...

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Veröffentlicht in:	Photodiagnosis and photodynamic therapy Jg. 30; S. 101792
Hauptverfasser:	Chen, Cheng, Yang, Li, Li, Hongyi, Chen, Fangfang, Chen, Chen, Gao, Rui, Lv, XY, Tang, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.06.2020
Schlagworte:	Algorithms Chronic renal failure (CRF) Hematologic Tests - methods Humans Kidney Failure, Chronic - diagnosis Machine Learning Neural Networks, Computer Principal Component Analysis Principal component analysis (PCA) Raman spectroscopy Sensitivity and Specificity serum Spectrum Analysis, Raman - methods Support vector machine (SVM) Support vector machine (SVM) Chronic renal failure (CRF) Raman spectroscopy serum Principal component analysis (PCA)
ISSN:	1572-1000, 1873-1597, 1873-1597
Online-Zugang:	Volltext
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