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

<p>Number of false negative 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...

全面介紹

Saved in:

書目詳細資料
主要作者:	Stefan Saverimuttu (20882325) (author)
其他作者:	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)
出版:	2025
主題:	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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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

相似書籍