Analyzing the serum of hemodialysis patients with end-stage chronic kidney disease by means of the combination of SERS and machine learning.
| Autor: | Bratchenko LA; Department of Laser and Biotechnical Systems, Samara University, 34 Moskovskoe Shosse, Samara, 443086, Russia.; shamina94@inbox.ru., Al-Sammarraie SZ; Department of Laser and Biotechnical Systems, Samara University, 34 Moskovskoe Shosse, Samara, 443086, Russia., Tupikova EN; Department of Chemistry, Samara University, 34 Moskovskoe Shosse, Samara, 443086, Russia., Konovalova DY; Department of Internal Medicine, Samara State Medical University, 159 Tashkentskaya Street, Samara, 443095, Russia., Lebedev PA; Department of Internal Medicine, Samara State Medical University, 159 Tashkentskaya Street, Samara, 443095, Russia., Zakharov VP; Department of Laser and Biotechnical Systems, Samara University, 34 Moskovskoe Shosse, Samara, 443086, Russia., Bratchenko IA; Department of Laser and Biotechnical Systems, Samara University, 34 Moskovskoe Shosse, Samara, 443086, Russia.; iabratchenko@gmail.com. |
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| Jazyk: | angličtina |
| Zdroj: | Biomedical optics express [Biomed Opt Express] 2022 Aug 24; Vol. 13 (9), pp. 4926-4938. Date of Electronic Publication: 2022 Aug 24 (Print Publication: 2022). |
| DOI: | 10.1364/BOE.455549 |
| Abstrakt: | The aim of this paper is a multivariate analysis of SERS characteristics of serum in hemodialysis patients, which includes constructing classification models (PLS-DA, CNN) by the presence/absence of end-stage chronic kidney disease (CKD) with dialysis and determining the most informative spectral bands for identifying dialysis patients by variable importance distribution. We found the spectral bands that are informative for detecting the hemodialysis patients: the 641 cm -1 , 724 cm -1 , 1094 cm -1 and 1393 cm -1 bands are associated with the degree of kidney function inhibition; and the 1001 cm -1 band is able to demonstrate the distinctive features of hemodialysis patients with end-stage CKD. Competing Interests: The authors declare no conflicts of interest. (© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.) |
| Databáze: | MEDLINE |
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