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...

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Opis bibliograficzny
1. autor:	Stefan Saverimuttu (20882325) (author)
Kolejni autorzy:	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)
Wydane:	2025
Hasła przedmiotowe:	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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Podobne zapisy

Metrics of application performance. Mean, standard deviation, and range of recall, precision, and calculated F1-score of all four tested clinicopathologic findings across all testers of the application for extraction of necropsy data from the Wildbase Pathology Register, DEE.
od: Stefan Saverimuttu (20882325)
Wydane: (2025)

Statistics of search terms and stems. Mean, standard deviation, and range of the number of selected search terms and number of 3 letter word stems derived from these search terms, across testers and clinicopathologic findings in the pilot test of an application for extraction of necropsy data from the Wildbase Pathology Register, DEE.
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Quantification of misclassification categorisation. Misclassification categories quantified across all testers and clinicopathologic findings for false positives and false negatives in a pilot test of the text-mining application; DEE, designed for the rapid retrieval of necropsy data from free-text reports within the Wildbase Pathology Register of Aotearoa New Zealand.
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Table of misclassification coding structure. Codes in the left-hand column were given to individual records misclassified by the application according to the false positive and false negative code definitions and examples described.
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Clinicopathologic finding descriptions given for each dataset, and reference name of each finding in this study.
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Line plots of performance metrics across TFIDF conditions.
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Violin plots of performance metrics across all testers.
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Bar charts of false negative misclassifications for tested clinicopathologic findings across all testers.
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All tester data.
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Descriptive statistics of demographic and clinical characteristics.
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Comparison of Non-invasive Liver Fibrosis Scores.
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Demographic and Clinical Characteristics of Study Participants.
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Proposed pathophysiological crosstalk between MAFLD and CKD.
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eGFR in the study participants.
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