| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6966052 | Accident Analysis & Prevention | 2014 | 11 Pages |
Abstract
We conclude that the application of Bayesian autocoding methods can successfully code both near misses, and injuries in longer-than-average narratives with non-specific prompts regarding injury. Such, coding allowed for the creation of two new quantitative data elements for injury outcome and injury, mechanism.
Keywords
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Authors
Jennifer A. Taylor, Alicia V. Lacovara, Gordon S. Smith, Ravi Pandian, Mark Lehto,