Exploratory Study on Screening Chronic Renal Failure Based on Fourier Transform Infrared Spectroscopy and a Support Vector Machine Algorithm
Joint Authors
Tang, Jun
Gao, Rui
Yuan, Yushuai
Lv, Xiaoyi
Yan, Ziwei
Li, Min
Yang, Li
Chen, Cheng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Chronic renal failure (CRF) is a clinically serious kidney disease.
If the patient is not treated in a timely manner, CRF will develop into uremia.
However, current diagnostic methods, such as routine blood examinations and medical imaging, have low sensitivity.
Therefore, it is important to explore new and effective diagnostic methods for CRF, such as serum spectroscopy.
This study proposes a cost-effective and reliable method for detecting CRF based on Fourier transform infrared (FT-IR) spectroscopy and a support vector machine (SVM) algorithm.
We measured and analyzed the FT-IR spectra of serum from 44 patients with CRF and 54 individuals with normal renal function.
The partial least squares (PLS) algorithm was applied to reduce the dimensionality of the high-dimensional spectral data.
The samples were input into the SVM after division by the Kennard–Stone (KS) algorithm.
Compared with other models, the SVM optimized by a grid search (GS) algorithm performed the best.
The sensitivity of our diagnostic model was 93.75%, the specificity was 100%, and the accuracy was 96.97%.
The results demonstrate that FT-IR spectroscopy combined with a pattern recognition algorithm has great potential in screening patients with CRF.
American Psychological Association (APA)
Yuan, Yushuai& Yang, Li& Gao, Rui& Chen, Cheng& Li, Min& Tang, Jun…[et al.]. 2020. Exploratory Study on Screening Chronic Renal Failure Based on Fourier Transform Infrared Spectroscopy and a Support Vector Machine Algorithm. Journal of Spectroscopy،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1190823
Modern Language Association (MLA)
Yuan, Yushuai…[et al.]. Exploratory Study on Screening Chronic Renal Failure Based on Fourier Transform Infrared Spectroscopy and a Support Vector Machine Algorithm. Journal of Spectroscopy No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1190823
American Medical Association (AMA)
Yuan, Yushuai& Yang, Li& Gao, Rui& Chen, Cheng& Li, Min& Tang, Jun…[et al.]. Exploratory Study on Screening Chronic Renal Failure Based on Fourier Transform Infrared Spectroscopy and a Support Vector Machine Algorithm. Journal of Spectroscopy. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1190823
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190823