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C-reactive protein (CRP) evaluation in human urine using optical sensor supported by machine learning.

Authors :
Cierpiak, Kacper
Wityk, Paweł
Kosowska, Monika
Sokołowski, Patryk
Talaśka, Tomasz
Gierowski, Jakub
Markuszewski, Michał J.
Szczerska, Małgorzata
Source :
Scientific Reports. 8/15/2024, Vol. 14 Issue 1, p1-10. 10p.
Publication Year :
2024

Abstract

The rapid and sensitive indicator of inflammation in the human body is C-Reactive Protein (CRP). Determination of CRP level is important in medical diagnostics because, depending on that factor, it may indicate, e.g., the occurrence of inflammation of various origins, oncological, cardiovascular, bacterial or viral events. In this study, we describe an interferometric sensor able to detect the CRP level for distinguishing between no-inflammation and inflammation states. The measurement head was made of a single mode optical fiber with a microsphere structure created at the tip. Its surface has been biofunctionalized for specific CRP bonding. Standardized CRP solutions were measured in the range of 1.9 µg/L to 333 mg/L and classified in the initial phase of the study. The real samples obtained from hospitalized patients with diagnosed Urinary Tract Infection or Urosepsis were then investigated. 27 machine learning classifiers were tested for labeling the phantom samples as normal or high CRP levels. With the use of the ExtraTreesClassifier we obtained an accuracy of 95% for the validation dataset. The results of real samples classification showed up to 100% accuracy for the validation dataset using XGB classifier. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
14
Issue :
1
Database :
Academic Search Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
179040620
Full Text :
https://doi.org/10.1038/s41598-024-67821-0