The possibilities of machine learning in determining the variants of the course of viral pneumonia associated with COVID-19 based on computed tomography data

The possibilities of machine learning in determining the variants of the course of viral pneumonia associated with COVID-19 based on computed tomography data

Introduction. In acute COVID-19 respiratory infection caused by SARS-CoV-2 coronavirus (2019-nCov), lung damage has a different course, which has not been studied so far. The purpose of the study. To study the variants of the course of COVID-19 viral pneumonia (VP) based on the analysis of the dynam...

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Bibliographic Details
Main Authors: I. M. Skorobogach, L. T. Khamidova, R. S. Muslimov, N. V. Rybalko, S. S. Petrikov
Format: Article
Language:Russian
Published: Private institution educational organization of higher education "Medical University "ReaViz" 2023-09-01
Series:Вестник медицинского института «Реавиз»: Реабилитация, врач и здоровье
Subjects:
viral pneumonia
covid-19
computed tomography
degree of lung damage
variants of the course of pneumonia
Online Access:https://vestnik.reaviz.ru/jour/article/view/796
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