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  1. 1
    All tester data.

    All tester data. nork Stefan Saverimuttu (20882325)

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  2. 2
    Summarised workflow of the ‘Examine’ section of DEE.

    Summarised workflow of the ‘Examine’ section of DEE. nork Stefan Saverimuttu (20882325)

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  3. 3
    Clinicopathologic finding descriptions given for each dataset, and reference name of each finding in this study.

    Clinicopathologic finding descriptions given for each dataset, and reference name of each finding in this study. nork Stefan Saverimuttu (20882325)

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  4. 4
    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.

    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 fal... nork Stefan Saverimuttu (20882325)

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  5. 5
    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. nork Stefan Saverimuttu (20882325)

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  6. 6
    Bar charts of false negative misclassifications for tested clinicopathologic findings across all testers.

    Bar charts of false negative misclassifications for tested clinicopathologic findings across all testers. nork Stefan Saverimuttu (20882325)

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  7. 7
    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.

    Quantification of misclassification categorisation. Misclassification categories quantified across all testers and clinicopathologic findings for false positives and false negative... nork Stefan Saverimuttu (20882325)

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  8. 8
    Line plots of performance metrics across TFIDF conditions.

    Line plots of performance metrics across TFIDF conditions. nork Stefan Saverimuttu (20882325)

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  9. 9
    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.

    Metrics of application performance. Mean, standard deviation, and range of recall, precision, and calculated F1-score of all four tested clinicopathologic findings across all teste... nork Stefan Saverimuttu (20882325)

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  10. 10
    Violin plot of all application test performance metrics.

    Violin plot of all application test performance metrics. nork Stefan Saverimuttu (20882325)

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  11. 11
    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.

    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,... nork Stefan Saverimuttu (20882325)

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  12. 12
    Violin plots of performance metrics across all testers.

    Violin plots of performance metrics across all testers. nork Stefan Saverimuttu (20882325)

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