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This study employed an artificial intelligence algorithm for the discrimination of gas mixtures in exhaled breath. The Boruta algorithm was used for feature selection and a support vector machine (SVM) classification algorithm was used for performance analysis. The results showed that the algorithm performed satisfactorily under dry conditions and effectively classified the gas mixture under high-humidity conditions, verifying the applicability of the MDFG for breath analysis.