Abstract and keywords
Abstract (English):
Polymorphic variants of genes of 214 miners of coal mines in Kuzbass in lung cancer patients, and 300 men of the control group were analyzed. A computer program has been developed for predicting the risk of developing lung cancer in the working coal mines of Kuzbass. Objective: to develop a comprehensive program for predicting the risk of developing lung cancer in coal mine workers in Kuzbass.

Keywords:
machine learning, information technology, data analysis, lung cancer, coal mines, genetic polymorphism
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References

1. Taeger, D. Lung cancer among coal miners, ore miners and quarrymen: smokingadjusted risk estimates from the synergy pooled analysis of case-control studies / D.Taeger, B.Pesch, B. Kendzia, et al. // Scand J Work Environ Health. 2015;41(5):467-477. doihttps://doi.org/10.5271/sjweh.3513

2. sklearn.ensemble.RandomForestClassifier [Electronic resource]. - Access mode: https://scikitlearn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html. - Access date: 14.10.2022.

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