Mining the Clinical Narrative: All Text are Not Equal

@article{Feldman2016MiningTC,
  title={Mining the Clinical Narrative: All Text are Not Equal},
  author={Keith Feldman and Nicholas L. Hazekamp and Nitesh V. Chawla},
  journal={2016 IEEE International Conference on Healthcare Informatics (ICHI)},
  year={2016},
  pages={271-280}
}
Over the past decade, the application of data science techniques to clinical data has allowed practitioners and researchers to develop a sundry of analytical models. These models have traditionally relied on structured data drawn from Electronic Medical Records (EMR). Yet, a large portion of EMR data remains unstructured, primarily held within clinical notes. While recent work has produced techniques for extracting structured features from unstructured text, this work generally operates under… CONTINUE READING

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