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

Brett R. South | Zendy; Heidi Kramer | Zendy; Barbara Jones | Zendy; Melissa Tharp | Zendy; Wendy W. Chapman | Zendy

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

Author(s) -

Brett R. South,

Heidi Kramer,

Barbara Jones,

Melissa Tharp,

Wendy W. Chapman

Publication year - 2015

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v7i1.5721

Subject(s) - natural language processing , computer science , artificial intelligence , pneumonia , sample (material) , data science , linguistics , medicine , philosophy , chemistry , chromatography

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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