Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least-squares support vector machine

Objective: Development of biofluid-based biomarkers is attractive for the diagnosis of chronic obstructive pulmonary disease (COPD) but still lacking. Thus, here we aimed to identify serum metabolic biomarkers for the diagnosis of COPD. Methods: In this study, we investigated serum metabolic feature...

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Bibliographic Details
Main Authors:	Chen, C. (Author), Dong, L. (Author), Gao, H. (Author), Hu, Y. (Author), Li, Y. (Author), Shu, Q. (Author), Yang, L. (Author), Zheng, H. (Author), Zhu, M. (Author)
Format:	Article
Language:	English
Published:	John Wiley and Sons Inc 2021
Subjects:	aged Aged alanine area under the curve Article artificial intelligence Artificial Intelligence biological marker Biomarkers blood case control study Case-Control Studies chronic obstructive lung disease clinical feature computer assisted diagnosis controlled study COPD diagnosis Diagnosis, Computer-Assisted diagnostic accuracy diagnostic test accuracy study female Female glucose glycoprotein histidine human Humans kernel method lactic acid least square analysis least squares support vector machine Least-Squares Analysis leucine lipoprotein low density lipoprotein Magnetic Resonance Spectroscopy major clinical study male Male metabolomics Metabolomics middle aged Middle Aged n acetyl glycoprotein nuclear magnetic resonance spectroscopy polyunsaturated fatty acid predictive value procedures proton nuclear magnetic resonance Pulmonary Disease, Chronic Obstructive radial basis function support vector machine Support Vector Machine unclassified drug valine very low density lipoprotein
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Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least-squares support vector machine

Internet

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