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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Scientific reports Ročník 13; číslo 1; s. 5137 - 6
Hlavní autoři:	Chen, Xiaomei, Wu, Xue, Chen, Chen, Luo, Cainan, Shi, Yamei, Li, Zhengfang, Lv, Xiaoyi, Chen, Cheng, Su, Jinmei, Wu, Lijun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 29.03.2023 Nature Publishing Group Nature Portfolio
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!