MALDI-TOF MS is an effective potential tool to distinguish between MSSA and MRSA. By combining the ClinProTools3.0 software and manual grouping intervention, we proposed a model optimization method for the first time. The cross validation of the model increased from 95.82% to 96.68%, and the accuracy of the model increased from 88.89% to 91.98%. Finally, we reported nine characteristic peaks of rapid detection of MRSA.

中文翻译：

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MALDI-TOF MS平台结合机器学习建立耐甲氧西林金黄色葡萄球菌快速鉴定模型

MALDI-TOF MS 是区分 MSSA 和 MRSA 的有效潜在工具。通过结合ClinProTools3.0软件和人工分组干预，我们首次提出了一种模型优化方法。模型交叉验证从95.82%提高到96.68%，模型准确率从88.89%提高到91.98%。最后，我们报告了 MRSA 快速检测的 9 个特征峰。