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

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

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



Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org