Bar charts of false positive misclassifications for tested clinicopathologic findings across all testers.

Bar charts of false positive misclassifications for tested clinicopathologic findings across all testers.

<p>Number of false positive accessions extracted (y-axis) by each anonymised tester (x-axis) stacked by reason for misclassification (key), for each tested clinicopathologic finding (as labelled) during pilot testing of the application, DEE, for extraction of necropsy data from the Wildbase Pa...

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Збережено в:
Бібліографічні деталі
Автор: Stefan Saverimuttu (20882325) (author)
Інші автори: 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)
Опубліковано: 2025
Предмети:
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
xlink ">
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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