Cluster analysis as a method of mathematical interpretation of immunological parameters in health workers

Arctic Biomonitoring

Ermolina, T.A.^1 ; Martynova, N.A.^2 ; Kuzmin, A.G.^3 ; Shishova, A.V.^1

Northern (Arctic) Federal University Named after M.V. Lomonosov, Russia^1

Northern State Medical University, Arkhangelsk, Russia^2

Vologda State Technical University, Vologda, Russia^3

关键词: Chronic disease;    Diagnostic value;    Occupational hazards;    Optimal sets;    Professional activities;    Qualitative data;    Quantitative data;    Working population;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/263/1/012030/pdf
DOI  :  10.1088/1755-1315/263/1/012030

来源: IOP

【 摘 要 】

The monitoring of metabolic and immunological processes in individuals exposed to occupational risk factors, is one of the components of a preventive approach to improving the health levels in working population. However, the diagnostic value of laboratory indexes appears varying. Aim It is therefore necessary to identify the most optimal set of indexes that can be used as biomarkers. Methods The achievements of modern mathematics can substantially extend our potential to explore the occupational and work-related diseases in medical workers. Results As a method, cluster analysis can be used for substantiating the criteria for estimating occupational hazards, as well as for developing a risk assessment concept when analyzing latent forms of chronic diseases in health workers. Conclusions The study has produced a number of conclusions validating the dependence between the risk of chronic diseases in medical workers they exposure to harmful occupational factors. In our study, comprehensive estimations covered not only the qualitative data relating to status and professional activity of health workers, but also such important quantitative data as immunological indexes that reflect the level of immune defence in medical workers. Such an approach gives the opportunity to expose, in a timely manner, additional diagnostic signs and to enhance the efficiency of therapheutic measures for health workers.