Analysis Of The Incidence Of Pneumoconiosis And Prevention Strategy

Pneumoconiosis is one of the legal occupational diseases in the country.The number of patients suffering from pneumoconiosis and the number of new cases in China ranks first in the world.Pneumoconiosis not only affects the health of workers,but also leads to serious economic burden.It even leads workers to lose their working ability.Because of its long incubation time and difficulty in cure,it is even more important to predict the work of pneumoconiosis.This paper analyzes the relationship between dust concentration,dust dispersion,dust toxicity,cumulative dust exposure time and other pathogenic factors and incidence of pneumoconiosis.The prediction results are not satisfactory by using the single prediction models of grey prediction,BP neural network and RBF neural network.two kinds of complex models.Two complex models based on BP neural network and grey neural network combined with genetic algorithm are used to predict the incidence of pneumoconiosis.The conclusion is that the grey neural network combination model is the best prediction model.This paper compares and analyzes the model prediction results,and evaluates the performance of several model performances,and optimizes forecasting models.The specific research is as follows:1.The factors causing pneumoconiosis are studied,and the pathogenic factors leading to pneumoconiosis are obtained,and the influence of various pathogenic factors on the incidence of pneumoconiosis is analyzed.2.Three predictive models are constructed: gray prediction,BP neural network,and RBF neural network to predict the incidence of pneumoconiosis.The model-determining coefficients and the model evaluation system are used to evaluate the prediction performance of the single model.3.BP neural network model based on the genetic algorithm optimization and gray-neural network combination model are constructed to predict the incidence of pneumoconiosis.The model-determining coefficients and the model evaluation system are used to evaluate the prediction performance of the two models,and compared with a single prediction model,and the best prediction model is found.4.According to the prediction result and the combination of pathogenic factors on the incidence of pneumoconiosis,this paper puts forward the prophylactic and controls strategies of pneumoconiosis at the same time.By discovering the pathogenic factor of pneumoconiosis,this paper analyzes the influence of various pathogenic factors on the incidence of pneumoconiosis,constructs models to predict the incidence of pneumoconiosis.Combination of pathogenic factors and pneumoconiosis incidence analysis can provide targeted preventive measures,theoretical basis for the prevention of pneumoconiosis,and reference for the study of other occupational diseases.