Extraction of clinical lab results: design and evaluation of a cTAKES component Public Deposited

Objective: To algorithmically extract lab test and value pairs and to evaluate the performance of
a machine learning-based solution to this task as compared to a rule-based solution.
Conclusion: The additional generalizability offered by the machine learning approach along with its overall relative performance may be sufficient to warrant practical usage in applications where portability amongst different systems and input data sets may be of significant concern.


Creator
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Identifier
  • https://doi.org/10.6083/m42b8xkq
  • Wen.Andrew.2017.pdf
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Publication Date
  • 2017
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Items