Using inductive machine learning to identify risk factors for healthcare workers to get infected with highly contagious viruses (based on COVID-19 model)

Using inductive machine learning to identify risk factors for healthcare workers to get infected with highly contagious viruses (based on COVID-19 model)

Epidemic and pandemic spread of highly contagious viruses (SARS-CoV, influenza A virus, Ebola virus, MERS-CoV, and SARS-CoV-2) has been a trend observed in the first two decades of the 21st century. The predominant impact made by the biological occupational factor on healthcare workers determines...

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Bibliographic Details
Main Authors: I.A. Egorov, S.S. Smirnova, A.V. Semenov
Format: Article
Language:English
Published: FBSI “Federal Scientific Center for Medical and Preventive Health Risk Management Technologies” 2024-06-01
Series:Analiz Riska Zdorovʹû
Subjects:
data mining
artificial intelligence
machine learning
risk-based approach
occupational predictors of infection
highly contagious viruses
sars-cov-2
healthcare workers
Online Access:https://journal.fcrisk.ru/eng/2024/2/11
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https://journal.fcrisk.ru/eng/2024/2/11

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