Intended workflow of the application, DEE, for extraction and display of information from free-text wildlife necropsy data.

Intended workflow of the application, DEE, for extraction and display of information from free-text wildlife necropsy data.

<p>A three-step process to facilitate rapid interrogation of large numbers of necropsy reports downloaded from the Wildbase Pathology Register of New Zealand.</p>

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Bibliographic Details
Main Author: Stefan Saverimuttu (20882325) (author)
Other Authors: 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)
Published: 2025
Subjects:
Biochemistry
Cell Biology
Ecology
Cancer
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
quantify positive occurrences
latent dirichlet allocation
foundational methods employed
final section uses
interrogate data dynamically
wildbase pathology register
mining techniques offer
wildlife necropsy data
text clinical reports
uploaded data
necropsy records
medical pathology
mining calculations
mining approaches
word correlations
timely access
three sections
tailoring analyses
subsequent actions
subjective sense
specific needs
principles underlying
population within
manual review
large volumes
knowledge acquisition
generate visualisations
first allows
custom rule
consuming process
close reading
based algorithm
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