Evaluation of a text-mining application for the rapid analysis of free-text wildlife necropsy reports.

ABSTRACT: The ability to efficiently derive insights from wildlife necropsy data is essential for advancing conservation and One Health objectives, yet close reading remains the mainstay of knowledge retrieval from ubiquitous free-text clinical data. This time-consuming process poses a barrier to the efficient utilisation of such valuable resources. This study evaluates part of a bespoke text-mining application, DEE (Describe, Explore, Examine), designed for extracting insights from free-text necropsy reports housed in Aotearoa New Zealand's Wildbase Pathology Register. A pilot test involving nine veterinary professionals assessed DEE's ability to quantify the occurrence of four clinicopathologic findings (external oiling, trauma, diphtheritic stomatitis, and starvation) across two species datasets

SUBMITTER: Saverimuttu S 

PROVIDER: S-EPMC12646400 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature