title: Study of support vector machine and serum surface-enhanced Raman spectroscopy for noninvasive esophageal cancer detection.
abstract: The ability of combining serum surface-enhanced Raman spectroscopy (SERS) with support vector machine (SVM) for improving classification esophageal cancer patients from normal volunteers is investigated. Two groups of serum SERS spectra based on silver nanoparticles (AgNPs) are obtained: one group from patients with pathologically confirmed esophageal cancer (n=30) and the other group from healthy volunteers (n=31). Principal components analysis (PCA), conventional SVM (C-SVM) and conventional SVM combination with PCA (PCA-SVM) methods are implemented to classify the same spectral dataset. Results show that a diagnostic accuracy of 77.0% is acquired for PCA technique, while diagnostic accuracies of 83.6% and 85.2% are obtained for C-SVM and PCA-SVM methods based on radial basis functions (RBF) models. The results prove that RBF SVM models are superior to PCA algorithm in classification serum SERS spectra. The study demonstrates that serum SERS in combination with SVM technique has great potential to provide an effective and accurate diagnostic schema for noninvasive detection of esophageal cancer.
authors: South China Normal University, School of Information and Optoelectronic Science and Engineering, Guangzhou 510631, China.
authors: Shao-Xin
authors: SX
authors: Li
authors: Qiu-Yao
authors: QY
authors: Zeng
authors: Lin-Fang
authors: LF
authors: Li
authors: Yan-Jiao
authors: YJ
authors: Zhang
authors: Ming-Ming
authors: MM
authors: Wan
authors: Zhi-Ming
authors: ZM
authors: Liu
authors: Hong-Lian
authors: HL
authors: Xiong
authors: Zhou-Yi
authors: ZY
authors: Guo
authors: Song-Hao
authors: SH
authors: Liu
mesh_terms: D000465:Algorithms; D016022:Case-Control Studies; D003102:Colloids; D004938:Esophageal Neoplasms / Q000097:blood* / Q000175:diagnosis*; D006801:Humans; D053768:Metal Nanoparticles; D055620:Optical Phenomena; D025341:Principal Component Analysis; D012834:Silver; D013059:Spectrum Analysis, Raman / Q000379:methods*; D060388:Support Vector Machine
chemical_list: D003102:Colloids; D012834:Silver