No abstract

Medical text mining has gained increasing popularity in recent years. Now a days, large amount of medical text data are daily generated in health institutions, but never refer again as it is very time consuming task. In Radiology research area, most of the reports are in free text format and usually unprocessed, hence it is difficult to access the valuable information for medical professional unless proper text mining is not applied. There are some systems for radiology report information retrieval like MedLEE, NeuRadIR, CBIR but very few of them make use of text associated with image This paper proposes a text mining system to deals with this problem by using statistical machine translation approach. The radiology report is given to the system as input and system will return the similar report match with the entered report from the database.The SVM classifier is use in SMT approach to find the match report. Precision and Recall accuracy measures are used for evaluation purpose.