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A key distinguishing factor between the Innate and Benevolent Interest classifications is the concept of research translation.
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This feature was absent from the Innate Interest classification, where the process of research discovery was regarded as interesting in and of itself.
While the disease of interest classification was highly effective, the ICD-10 classification demonstrated some variable results.
Empirically, disease of interest classification was highly accurate with 0.96 F-measure, while ICD-10 classification was variable but still effective with 0.80 macro-average F-measure.
A detailed empirical evaluation against seven years of manually coded death certificates showed that the proposed system was highly accurate at disease-of-interest classification (F-measure 0.96).
This is why there is so much interest in classification.
However, today, there is significant interest in classification algorithms.
An interest in classification permeates many scientific studies [ 11].
There is an increasing interest in classification systems for LBP patients that can be used to guide treatment.
We searched MEDLINE using combinations of the following MeSH subject headings together with the specific morbidity of interest: 'International Classification of Diseases', 'Reproducibility of Results', and 'Sensitivity and Specificity'.
It is our hope that this work will contribute to the future development of synergies between cheminformaticians and computer scientists interested in classification of complex structures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com