Classifying Supporting, Refuting, or Uncertain Evidence for Pneumonia Case Review

Authors

  • Brett R. South
  • Heidi S. Kramer Heidi S. Kramer
  • Barbara Jones
  • Melissa Tharp
  • Wendy Chapman

DOI:

https://doi.org/10.5210/ojphi.v7i1.5721

Abstract

We found substantial annotator variability in identifying supporting, refuting, or uncertain evidence for the diagnosis of pneumonia in clinical text. Future work will expand these methods to a larger case sample and incorporate a more formal linguistic analysis to identify specific lexical cues thereby extending existing taxonomies of uncertainty and improving automated NLP algorithms.

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Published

2015-02-02

How to Cite

South, B. R., Heidi S. Kramer, H. S. K., Jones, B., Tharp, M., & Chapman, W. (2015). Classifying Supporting, Refuting, or Uncertain Evidence for Pneumonia Case Review. Online Journal of Public Health Informatics, 7(1). https://doi.org/10.5210/ojphi.v7i1.5721

Issue

Section

Oral Presentations