MASS SPECTROMETRIC DIAGNOSIS OF RECOVERY AFTER RESPIRATORY ILLNESS USING MACHINE LEARNING METHODS

Autor: A.G. Kuzmin, Y.A. Titiov, A.Y. Zaitceva
Rok vydání: 2022
Předmět:
Zdroj: BIOTECHNOLOGY: STATE OF THE ART AND PERSPECTIVES. 1:74-77
ISSN: 2312-640X
DOI: 10.37747/2312-640x-2022-20-74-77
Popis: The express methodology of evaluation of mass-spectrometric parameters of gas composition of exhaled air for differential diagnostics of acute respiratory viral infections and tracing of dynamics of recovery after the disease was developed.
Databáze: OpenAIRE