INTEGRATED PROGRAM FOR PREDICTION OF THE RISK OF LUNG CANCER DEVELOPMENT IN WORKING COAL MINES OF KUZBASS
Authors:
Type:
Сonference abstract
Published:
16.02.2023
Subject area:
UDK 63 Сельское хозяйство. Лесное хозяйство. Охота. Рыбное хозяйство
Language:
Russian
Keywords:
machine learning, information technology, data analysis, lung cancer, coal mines, genetic polymorphism
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.
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
machine learning, information technology, data analysis, lung cancer, coal mines, genetic polymorphism
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