Summarised workflow of the ‘Examine’ section of DEE.

Summarised workflow of the ‘Examine’ section of DEE.

<p>DEE is an application designed for the rapid extraction of clinicopathologic data from accessions stored within the Wildbase Pathology Register of Aotearoa New Zealand. Selected illustrative screenshots and accompanying text outlines the workflow of the section of the application titled ‘Ex...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Stefan Saverimuttu (20882325) (author)
Otros Autores: 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)
Publicado: 2025
Materias:
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
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Ejemplares similares