20.500.12556/RUL-156195 Differentiating viral and bacterial infections a machine learning model based on routine blood test values The growing threat of antibiotic resistance necessitates accurate differentiation between bacterial and viral infections for proper antibiotic administration. In this study, a Virus vs. Bacteria machine learning model was developed to distinguish between these infection types using 16 routine blood test results, C-reactive protein concentration (CRP), biological sex, and age. With a dataset of 44,120 cases from a single medical center, the model achieved an accuracy of 82.2 %, a sensitivity of 79.7 %, a specificity of 84.5 %, a Brier score of 0.129, and an area under the ROC curve (AUC) of 0.905, outperforming a CRP-based decision rule. Notably, the machine learning model enhanced accuracy within the CRP range of 10–40 mg/L, a range where CRP alone is less informative. These results highlight the advantage of integrating multiple blood parameters in diagnostics. The "Virus vs. Bacteria" model paves the way for advanced diagnostic tools, leveraging machine learning to optimize infection management. viruses bacteria machine learning virusi bakterije strojno učenje true false true Angleški jezik Slovenski jezik Članek v reviji 2024-05-13 14:36:27 2024-05-13 14:36:28 2024-05-14 03:49:32 0000-00-00 00:00:00 2024 0 0 16 str. iss. 8, art. e29372 Vol. 10 30 Apr. 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 578:579:004.85 2405-8440 10.1016/j.heliyon.2024.e29372 194741507 RAZ_Guncar_Gregor_2024.pdf RAZ_Guncar_Gregor_2024.pdf 1 806B1F3541ABADA9F56B1F56C3E92E71 bcec01141e845e733e41c5fa7326cee6021980664c1b2645373f0456e387616c dcaca5d4-1125-11ef-adc7-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=183514 https://www.sciencedirect.com/science/article/pii/S2405844024054033 1 6c28f463-1125-11ef-adc7-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=183513 Fakulteta za kemijo in kemijsko tehnologijo Fakulteta za računalništvo in informatiko 0 0 0