All tester data.

All tester data.

<p>Compilation of results from each tester of a bespoke text-mining application for the rapid extraction for clinicopathologic data from outputs from the Wildbase Pathology Register of Aotearoa New Zealand.</p> <p>(CSV)</p>

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Bibliografski detalji
Glavni autor: Stefan Saverimuttu (20882325) (author)
Daljnji autori: Kate McInnes (7520158) (author), Kristin Warren (3339657) (author), Lian Yeap (21221659) (author), Stuart Hunter (2498485) (author), Brett Gartrell (6325817) (author), An Pas (12001965) (author), James Chatterton (20347204) (author), Bethany Jackson (3339660) (author)
Izdano: 2025
Teme:
Ecology
Information Systems not elsewhere classified
wildlife necropsy data
wildbase pathology register
study evaluates part
score &# 8212
pilot study highlights
one health objectives
limited terminological variance
examine ), designed
driven misclassification patterns
consuming process poses
analysed alongside tester
63 &# 8211
terminological variance may
efficiently derive insights
text clinical data
search term selection
efficient data retrieval
four clinicopathologic findings
highest performance scores
scores across
knowledge retrieval
extracting insights
efficient utilisation
clinicopathologic finding
tested findings
findings reveal
findings characterized
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valuable resources
results highlight
relatively simple
rapid analysis
principals underlying
mining approaches
mining application
may describe
manual review
external oiling
diphtheritic stomatitis
broader implementation
bespoke text
based text
automatically capture
application testers
advancing conservation
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Opis
Sažetak:<p>Compilation of results from each tester of a bespoke text-mining application for the rapid extraction for clinicopathologic data from outputs from the Wildbase Pathology Register of Aotearoa New Zealand.</p> <p>(CSV)</p>

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