Raman spectroscopy combined with a support vector machine algorithm as a diagnostic technique for primary Sjögren’s syndrome

The aim of this study was to explore the feasibility of Raman spectroscopy combined with computer algorithms in the diagnosis of primary Sjögren syndrome (pSS). In this study, Raman spectra of 60 serum samples were acquired from 30 patients with pSS and 30 healthy controls (HCs). The means and stand...

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Bibliographic Details
Published in:	Scientific reports Vol. 13; no. 1; pp. 5137 - 6
Main Authors:	Chen, Xiaomei, Wu, Xue, Chen, Chen, Luo, Cainan, Shi, Yamei, Li, Zhengfang, Lv, Xiaoyi, Chen, Cheng, Su, Jinmei, Wu, Lijun
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 29.03.2023 Nature Publishing Group Nature Portfolio
Subjects:	631/114/1305 631/114/1314 631/114/1386 639/638/11/872 692/699/249/1313 Algorithms Diagnosis Humanities and Social Sciences Humans multidisciplinary Optimization Principal Component Analysis Principal components analysis Raman spectroscopy Science Science (multidisciplinary) Sjogren's syndrome Sjogren's Syndrome - diagnosis Spectroscopy Spectrum analysis Spectrum Analysis, Raman - methods Support Vector Machine Support vector machines
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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