The Research and Application of Technology in the Diagnosis of Lung Cancer Warning Association Rule Mining
This paper establishes establish the intelligent diagnosis model of lung cancer based on the testing data from clinical diagnoses and by means of interactive regulation tapping. The author respectively analyzes 12 targets of 100 patients. Through muliti subjects combined means of radioimmunology, enzyme linked immunosorbent assay and chemistry so as to discover the interactive regulation between cancer and its likely causes and guide the diagnosis and prevention of lung cancer with the regulation model. The result shows that this method is superior to the conventional statistics of quantitative medicine. The author expects to take this as an example to study the application of the interactive regulation tapping in clinical diagnoses.
2016 8th International Conference on Information Technology in Medicine and Education (ITME)