Open Access Open Access  Restricted Access Subscription or Fee Access

A Novel Approach in Extracting Medical Reports Using Mining Technique

K. Venkatesh Sharma, Arif Mohammad Abdul


Medical text mining has gained increasing interest in recent years. Radiology reports contain rich information de- scribing radiologist's observations on the patient's medical conditions in the associated medical images. However, as most reports are in free text format, the valuable information contained in those reports cannot be easily accessed and used, unless proper text mining has been applied. In this paper, we propose a text mining system to extract and use the information in radiology reports. The system consists of three main modules: a medical finding extractor, a report and image retriever, and a text-assisted image feature extractor. In evaluation, the overall precision and re- call for medical finding extraction are 95.5% and 87.9% respectively, and for all modifiers of the medical findings 88.2% and 82.8% respectively. The overall result of report and image retrieval module and text-assisted image feature extraction module is satisfactory to   radiologists.


Text Mining, Medical Finding Extractor, Report and Image Retriever, and Text-Assisted Image Feature Extractor

Full Text:



Fact sheet: Medical subject headings. http://www.nlm.nih. gov/pubs/factsheets/mesh.html.

D. B. Aronow, F. Feng, and W. B. Croft. Ad hoc classification of radiology reports. Journal of the American Medical Informatics Association, 6(5):393–411, September October 1999.

M.-C. de Marneffe, B. MacCartney, and C. D. Manning. Generating typed dependency parses from phrase structure parses. In Proc. The fifth international conference on Language Resources and Evaluation (LREC2006), Genoa, Italy, 2006.

S. Dominich, J. Goth, and T. Kiezer. Neuradir: Web-based neuroradiological information retrieval system using three methods to satisfy different user aspects. Computerized Medical Imaging and Graphics, 30:263–272, 2006.

C. Friedman, P. O. Alderson, J. H. M. Austin, J. J. Cimino, and S. B. Johnson. A general natural language text processor for clinical radiology. Journal of the American Medical Informatics Association, 1(2):161–174, March April 1994.

T. Gong, R. Liu, C. L. Tan, N. Farzad, C. K. Lee, B. C. Pang, Q. Tian, S. Tang, and Z. Zhang. Classification of ct brain images of head trauma. In Proc. The second IAPR International Workshop on Pattern Recognition in Bioinformatics (PRIB2007), pages 401–408, 2007.

R. Krishnapuram, S. Medasani, S.-H. Jung, Y.-S. Choi, and R. Balasubramaniam. Content-based image retrieval based on a fuzzy approach. IEEE Transactions on Knowledge and Data Engineering, 16(10):1185–1199, October 2004.

C. Lacoste, J.-H. Lim, J.-P. Chevallet, and D. T. H. Le. Medical-image retrieval based on knowledge-assisted text and image indexing. IEEE Transactions on Circuits and Systems for Video Technology, 17(7):889–900, July 2007.

R. Liu, C. L. Tan, L. T. Yun, C. K. Lee, B. C. Pang, C. C. T. Lim, Q. Tian, S. Tang, and Z. Zhang. Hemorrhage slices detection in brain ct images. In Proc. The nineteenth conference of the International Association for Pattern Recognition (IAPR2008), 2008. Accepted.

E. A. Mendonca, J. Haas, L. Shagina, E. Larson, and C. Friedman. Extracting information on pneumonia in infants using natural lanuage processing of radiology reports. Journal of Biomedical Informatics, 38:314–321, 2005.

J. C. Prather, D. F. Lobach, L. K. Goodwin, J. W. Hales, M. L. Hage, and W. E. Hammond. Medical data mining: Knowledge discovery in a clinical data warehouse. In Proc. American Medical Informatics Association Annual Fall Symposium, pages 101–105, 1997.

U. Sinha, A. Ton, A. Yaghmai, R. K. Taira, and H. Kangarloo. Image content extraction: Application to mr images of the brain. Radiographics, 21(2):535–547, March April 2001.

R. K. Taira, V. Bashyam, and H. Kangarloo. A field theoretical approach to medical natural language processing. IEEE Transactions on Information Technology in Biomedicine, 11(4):364–373, July 2007.

R. K. Taira, S. G. Soderland, and R. M. Jakobovits. Automatic structuring of radiology free-text reports. Radiographics, 21(1):237–245, 2001.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.