IJERT-EMS
IJERT-EMS

Knowledge Extraction From Radiology Report Using Text Mining


Knowledge Extraction From Radiology Report Using Text Mining
Authors : Ms. Abhilasha T. Borkar, Prof. Archana A. Nikose
Publication Date: 30-07-2013

Authors

Author(s):  Ms. Abhilasha T. Borkar, Prof. Archana A. Nikose

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.2 - Issue 8 (August - 2013)

e-ISSN:   2278-0181

Abstract

Text Mining is the discovery by computer of new, earlier anonymous information by automatically extracting information from different written resources. A key aspect is the linking together of the extracted information together to form new facts or new hypotheses to be explored. The aim of this project to extract the information and used that information in radiology report. The system is consisting of three main modules: the medical finding extractor, report retriever, and image retriever. In this paper we are going to explain proposed method for implementing the system. first medical finding extracting module we have apply the natural language processing algorithm which automatically extract the medical finding and their modifiers which is used for structuring the radiology report. The structure report will act as a intermediate result for final result. This structuring of the free text report generally avoids the gap between user and reports, and make the information contained in the report is easily accessible. The next module is the image feature extraction which is used to extracting the feature for exact match. and the last module which is query analyzer module that is report retrieval module will take user query as a input and will generate the exact match like target image with associated report for the user enter query. the overall evaluation test is good.

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