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Abstract in RussianAnalysis of the impact of environmental factors on human health using digital solutions DOI: 10.29188/2712-9217-2023-9-4-36-44
- Shaderkin I.A. – PhD, Head of the Laboratory of Electronic Health, Institute of Digital Medicine, Sechenov University; Moscow, Russia; info@uroweb.ru, RCSI Author ID 695560; https://orcid.org/0000-0001-8669-2674
- Dyachenko A.P. – student of Volgograd State Medical University; Volgograd, Russia
- Chulyukova E.A. – student of Lomonosov Moscow State University; Moscow, Russia
- Pshenichny T.V. – student of Lomonosov Moscow State University; Moscow, Russia
- Koveka L.V. – student of the South Ural State Medical University; Chelyabinsk, Russia
- Khramtsova V.E. – student of the South Ural State Medical University; Chelyabinsk, Russia
- Gugnyavykh N.S. – student of St. Petersburg State University; St. Petersburg, Russia
- Kuzmina A.I. – student of St. Petersburg State University of Veterinary Medicine; St. Petersburg, Russia
299 Introduction. The article discusses the possibilities of using digital solutions to analyze the impact of environmental factors on human health. The aim is to propose a digital model for the hygienic assessment of the complex impact of environmental factors on human health. The problem to be solved: currently, information on the assessment of the impact of numerous environmental factors on human health is characterized by high dispersion, not allowing them to be taken into account in a complex. The use of digital solutions will allow for a comprehensive hygienic assessment of these factors. The novelty of the work lies in the use of digital technologies in the analysis and assess- ment of the studied environmental factors.
Materials and methods. In the process of work, scientific and review articles, reports and reports of government agencies, general methods of scientific research are used: analysis, comparison, generalization, synthesis, systematic approach, structural analysis; statistical method; hygienic analysis.
Results. For a comprehensive assessment of environmental factors on human health, we proposed to apply a random forest machine learning model on a data set of environmental factors. Based on the scales calculated by the model, it is possible to draw conclusions about which factors most significantly affect the occurrence of certain diseases.
Conclusions. The results of the study are promising for implementation in the practice of assessing the environmental quality of the study area. They can be used to develop methods and technologies to prevent and reduce the negative impact of these factors on human health.
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