Acetone discriminator and concentration estimator for diabetes monitoring in human breath

Abstract

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A preliminary screening system for diabetes based on in-car electronic nose

“…The training set was used to build the classification model, and the test set was used to verify. In order to accurately predict diabetes patients and select the best gas recognition and classification method, classification methods were adopted in most studies ( 29 , 30 , 31 ): support vector machine (SVM), random forest (RF), K-nearest neighbor (KNN) were used in this paper for comparative analysis and evaluation of electronic nose performance.…”