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Classification of Analgetic Drugs in Primary Packages by Applying Multivariate Methods to Terahertz Spectra
Abstract
We cоmpared the efficiency of some multivariate methods of recognition of drug classes in primary packages using THz transmission spectra. The advantages of the support vector machine are demonstrated with a classification error not exceededing 5.7% for two groups of analgetic drugs with a high level of heterogeneity of the samples in these groups.
About the Authors
A. V. Lyakhnovich
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus
Belarus
Minsk
G. V. Sinitsyn
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus
Belarus
Minsk
M. A. Khodasevich
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus
Belarus
Minsk
D. A. Borisevich
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus
Belarus
Minsk
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Review
For citations:
Lyakhnovich A.V., Sinitsyn G.V., Khodasevich M.A., Borisevich D.A. Classification of Analgetic Drugs in Primary Packages by Applying Multivariate Methods to Terahertz Spectra. Zhurnal Prikladnoii Spektroskopii. 2021;88(5):778-782. (In Russ.)
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