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Text Mining for Medical Diagnosis


Affiliations
1 Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology, Hyderabad -5001510, India
2 Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology Hyderabad -5001510, India
     

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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.


Keywords

Data Mining, Radiology Reports, Text Mining, Knowledge Discovery.
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  • Text Mining for Medical Diagnosis

Abstract Views: 173  |  PDF Views: 1

Authors

K. M. Srinivasa Rao
Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology, Hyderabad -5001510, India
M. Venkatadri
Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology Hyderabad -5001510, India
P. Bhaskar
Department of Computer Science and Engineering, Jawaharlal Nehru Institute of Technology, Hyderabad -5001510, India

Abstract


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.


Keywords


Data Mining, Radiology Reports, Text Mining, Knowledge Discovery.