Auxiliary differentiation of several pleural diseases based on intelligent algorithms

Objective:To automatically clarify the pleural diseases to promote working efficiency by using database mining technology.Methods:The database technology was combined with data mining technique to analyze the patient sensitive data.By use of probabilistic neural networks and decision trees,we could achieve the rapid identification of several pleural diseases.Results:The system implemented the intelligence analysis and classification of several pleural disease features,which enhanced the speed and accuracy of screening.Conclusion:The system has the advantages of high diagnostic rate and easy operation.It provide a reference of a similar investigation to disease classification.