Assessing the health hazard of respiratory exposure to benzene on respiratory capacity and blood parameters in a chemical industry with a fuzzy assessmentssessing the health hazard of respiratory exposure to benzene on respiratory capacity and blood parameters in a chemical industry by neural network and fuzzy neural network (Case study)

Benzene is a aromatic colorless liquid as a base for crude oil, gasoline, polystyrene, synthetic rubber and nylon capable of causing lung dysfunction, asthma, lung infection, central nervous system suppression, blood poisoning, genetic effects, chromosomal abnormalities, DNA damage And leukemia. This case study was conducted in 1398 on a statistical population of 50 people working in a chemical industry. The Niosh1501 method was used to evaluate and determine the respiratory exposure of employees to benzene. The results mean weighted average time of respiratory exposure to benzene (OEL-TWA) was different in the exposed group and the control group and in the personnel of loading units 7 ppm, production 0.523 ppm, laboratory 0.178 ppm, quality control 0.224 ppm and the administrative control group is zero (OEL-TWA allowable threshold: 0.5 PPM). Research variables include respiratory capacity (FEV, FVC, FEV / FVC, FEF), blood parameters (WBC, RBC, PLT, MCV), as well as age and work experience of the exposed and control group were extracted from the medical records of the personnel. Relationship between health hazard of respiratory exposure to benzene on blood parameters and respiratory capacity, as well as the effect of age and work experience factors on these parameters by neural network (MLP) and fuzzy neural network (ANFIS) in software Matlab 2019 was modeled with 5 core processor power and 8 gb of ram. In neural network architecture with 99.7702% accuracy in the experimental section and the degree of convergence tolerance equal to 0.5 ×10-3, and in fuzzy neural network architecture with 99.8163% accuracy in the experimental section and with Convergence tolerance of 0.54×10-3, results showed that the respiratory capacities and blood parameters of the exposed and control groups were different and had a significant relationship, as well as age and work experience did not affect the blood parameters and respiratory capacities of the exposed and control groups.Benzene is a aromatic colorless liquid as a base for crude oil, gasoline, polystyrene, synthetic rubber and nylon capable of causing lung dysfunction, asthma, lung infection, central nervous system suppression, blood poisoning, genetic effects, chromosomal abnormalities, DNA damage And leukemia. This case study was conducted in 1398 on a statistical population of 50 people working in a chemical industry. The Niosh1501 method was used to evaluate and determine the respiratory exposure of employees to benzene. The results mean weighted average time of respiratory exposure to benzene (OEL-TWA) was different in the exposed group and the control group and in the personnel of loading units 7 ppm, production 0.523 ppm, laboratory 0.178 ppm, quality control 0.224 ppm and the administrative control group is zero (OEL-TWA allowable threshold: 0.5 PPM). Research variables include respiratory capacity (FEV, FVC, FEV / FVC, FEF), blood parameters (WBC, RBC, PLT, MCV), as well as age and work experience of the exposed and control group were extracted from the medical records of the personnel. Relationship between health hazard of respiratory exposure to benzene on blood parameters and respiratory capacity, as well as the effect of age and work experience factors on these parameters by neural network (MLP) and fuzzy neural network (ANFIS) in software Matlab 2019 was modeled with 5 core processor power and 8 gb of ram. In neural network architecture with 99.7702% accuracy in the experimental section and the degree of convergence tolerance equal to 0.5 ×10-3, and in fuzzy neural network architecture with 99.8163% accuracy in the experimental section and with Convergence tolerance of 0.54×10-3, results showed that the respiratory capacities and blood parameters of the exposed and control groups were different and had a significant relationship, as well as age and work experience did not affect the blood parameters and respiratory capacities of the exposed and control groups.Benzene is a aromatic colorless liquid as a base for crude oil, gasoline, polystyrene, synthetic rubber and nylon capable of causing lung dysfunction, asthma, lung infection, central nervous system suppression, blood poisoning, genetic effects, chromosomal abnormalities, DNA damage And leukemia. This case study was conducted in 1398 on a statistical population of 50 people working in a chemical industry. The Niosh1501 method was used to evaluate and determine the respiratory exposure of employees to benzene. The results mean weighted average time of respiratory exposure to benzene (OEL-TWA) was different in the exposed group and the control group and in the personnel of loading units 7 ppm, production 0.523 ppm, laboratory 0.178 ppm, quality control 0.224 ppm and the administrative control group is zero (OEL-TWA allowable threshold: 0.5 PPM). Research variables include respiratory capacity (FEV, FVC, FEV / FVC, FEF), blood parameters (WBC, RBC, PLT, MCV), as well as age and work experience of the exposed and control group were extracted from the medical records of the personnel. Relationship between health hazard of respiratory exposure to benzene on blood parameters and respiratory capacity, as well as the effect of age and work experience factors on these parameters by neural network (MLP) and fuzzy neural network (ANFIS) in software Matlab 2019 was modeled with 5 core processor power and 8 gb of ram. In neural network architecture with 99.7702% accuracy in the experimental section and the degree of convergence tolerance equal to 0.5 ×10-3, and in fuzzy neural network architecture with 99.8163% accuracy in the experimental section and with Convergence tolerance of 0.54×10-3, results showed that the respiratory capacities and blood parameters of the exposed and control groups were different and had a significant relationship, as well as age and work experience did not affect the blood parameters and respiratory capacities of the exposed and control groups.Benzene is a aromatic colorless liquid as a base for crude oil, gasoline, polystyrene, synthetic rubber and nylon capable of causing lung dysfunction, asthma, lung infection, central nervous system suppression, blood poisoning, genetic effects, chromosomal abnormalities, DNA damage And leukemia. This case study was conducted in 1398 on a statistical population of 50 people working in a chemical industry. The Niosh1501 method was used to evaluate and determine the respiratory exposure of employees to benzene. The results mean weighted average time of respiratory exposure to benzene (OEL-TWA) was different in the exposed group and the control group and in the personnel of loading units 7 ppm, production 0.523 ppm, laboratory 0.178 ppm, quality control 0.224 ppm and the administrative control group is zero (OEL-TWA allowable threshold: 0.5 PPM). Research variables include respiratory capacity (FEV, FVC, FEV / FVC, FEF), blood parameters (WBC, RBC, PLT, MCV), as well as age and work experience of the exposed and control group were extracted from the medical records of the personnel. Relationship between health hazard of respiratory exposure to benzene on blood parameters and respiratory capacity, as well as the effect of age and work experience factors on these parameters by neural network (MLP) and fuzzy neural network (ANFIS) in software Matlab 2019 was modeled with 5 core processor power and 8 gb of ram. In neural network architecture with 99.7702% accuracy in the experimental section and the degree of convergence tolerance equal to 0.5 ×10-3, and in fuzzy neural network architecture with 99.8163% accuracy in the experimental section and with Convergence tolerance of 0.54×10-3, results showed that the respiratory capacities and blood parameters of the exposed and control groups were different and had a significant relationship, as well as age and work experience did not affect the blood parameters and respiratory capacities of the exposed and control groups.