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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Photodiagnosis and photodynamic therapy Ročník 30; s. 101792
Hlavní autori:	Chen, Cheng, Yang, Li, Li, Hongyi, Chen, Fangfang, Chen, Chen, Gao, Rui, Lv, XY, Tang, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.06.2020
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!