Your browser doesn't support javascript.
Comparative Analysis of Laboratory and Radiation Methods of Studies with the Degree of Severity of Patients with COVID-19
2023 25th International Conference on Digital Signal Processing and its Applications, DSPA 2023 ; 2023.
Article in English | Scopus | ID: covidwho-20237784
ABSTRACT
The study is devoted to a comparative analysis and retrospective evaluation of laboratory and instrumental data with the severity of lung tissue damage in COVID-19 of patients with COVID-19. An improvement was made in the methodology for interpreting and analyzing dynamic changes associated with COVID-19 on CT images of the lungs. The technique includes the following

steps:

pre-processing, segmentation with color coding, calculation and evaluation of signs to highlight areas with probable pathology (including combined evaluation of signs). Analysis and interpretation is carried out on the emerging database of patients. At the same time the following indicators are distinguished the results of the analysis of CT images of the lungs in dynamics;the results of the analysis of clinical and laboratory data (severity course of the disease, temperature, saturation, etc.). The results of laboratory studies are analyzed with an emphasis on the values of the main indicator - interleukin-6. This indicator is a marker of significant and serious changes characterizing the severity of the patient's condition. © 2023 IEEE.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: 2023 25th International Conference on Digital Signal Processing and its Applications, DSPA 2023 Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: 2023 25th International Conference on Digital Signal Processing and its Applications, DSPA 2023 Year: 2023 Document Type: Article