Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Digestive System Disea ses and Conditions - Choledocholithiasis is the subject of a report. According t o news originating from Chengdu, People’s Republic of China, by NewsRx correspon dents, research stated, “Surface-enhanced Raman spectroscopy (SERS) analysis bas ed on body fluids has been widely applied in disease diagnose. Choledocholithias is is a widespread and often recurrent digestive system disease, with limited da ta on factors predicting its formation and reappearance.” Our news journalists obtained a quote from the research from Sichuan University, “Bile contains many components that could provide valuable diagnostic informati on; however, the current diagnosis of biliary disease by SERS focuses on detecti ng specific component in the bile, overlooking the complex interplay and correla tions among multiple factors that could be crucial for accurate diagnosis. This work directly obtained multi-component SERS spectral information of raw bile fro m 46 patients. Characteristic information was extracted from bile SERS spectra u sing Principal Component Analysis (PCA), revealing variations in the content of characteristic components associated with different choledocholithiasis types an d their recurrence frequency. Pearson correlation analysis was also introduced t o reveal the interactions of primary active substances pertinent to choledocholi thiasis diagnosis. The efficacy of PCA and Support Vector Machine (SVM) models i n classifying stone types, presented an accuracy of 99.2 %. Further more, the interaction patterns among SERS characteristic components in choledoch olithiasis recurrence frequency were revealed, and with the support of SVM, the prediction for different recurrence rates reached an accuracy of 95.2 % .”
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