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Srinivasa Rao, K. M.
- Text Mining for Medical Diagnosis
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1 Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology, Hyderabad -5001510, IN
2 Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology Hyderabad -5001510, IN
1 Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology, Hyderabad -5001510, IN
2 Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology Hyderabad -5001510, IN
Source
Data Mining and Knowledge Engineering, Vol 2, No 11 (2010), Pagination: 338-342Abstract
Data mining plays a vital role in various fields including Medical Diagnosis due to its significance in effective decision making. Most of the medical reports are in free text format, which requires proper text mining approaches and techniques to extract the hidden knowledge. In this paper we present the existing text mining approaches for Radiology medical reports, further we propose a novel text mining approach to overcome the limitations in the existing approaches for Radiology medical diagnosis.