Text Mining of Medical Records for Radiodiagnostic Decision-Making

@article{Claster2008TextMO,
  title={Text Mining of Medical Records for Radiodiagnostic Decision-Making},
  author={William Claster and Subana Shanmuganathan and Nader Ghotbi},
  journal={J. Comput.},
  year={2008},
  volume={3},
  pages={1-6}
}
The rapid growth of digitalized medical records presents new opportunities for mining terra bytes of data that may provide new information & knowledge. [] Key Method We employed Self Organizing Maps (SOM), an unsupervised neural network based text-mining technique for the analysis. This approach led to the identification of keywords with a significance value within the narratives of the medical records that could predict & thereby lower the number of unnecessary CT requests by clinicians. This is important…
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