Study on the Discrimination of Bovis Calculus and Its Substitutes in Clinical Medication for Acute and Severe Illnesses Guided by Precise Supervision
Objective:To establish a method for the accurate discrimination of Bovis Calculus,Bovis Calculus Cultured and Bovis Calculus Sativus,and provide technical support for the precise supervision of this type of variety.Methods:Firstly,Samples of the Bovis Calculus,Bovis Calculus Cultured and Bovis Calculus Sativus were determined by rapid evaporative ionization mass spectrometry(REIMS).Then,a logistic regression model in machine learning was used to perform feature dimensionality reduction on the measured sample data,resulting in data with only 22 characteristic ion channels.Train a logistic regression model with hyperparameter optimization using data obtained from feature dimensionality reduction.Results:The results of test set validation indicated that the logistic regression model could accurately identify the samples of Bovis Calculus,Bovis Calculus Cultured and Bovis Calculus Sativus with accuracy of 0.94,precision of 0.90,Fl score of 0.93 and AUC of 0.99.Conclusion:To sum up,the method based on REIMS technique and logistic regression model can quickly and accurately achieve simultaneous discrimination and identification of Bovis Calculus,Bovis Calculus Cultured and Bovis Calculus Sativus.This study can provide technical support for precise supervision of this type of variety.
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