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The data was classified using a modification of Bloom's hierarchy of cognitive learning [ 12, 13].
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More specifically, the data is classified using the clustering algorithm: the data sent to potential objectives to be attacked is classified as high-risk data, while other data is classified as low-risk data.
This is because CARE does not allow for the collision partner to be identified; the data are classified using one vehicle type e.g., it is possible to tell that a cyclist had an accident with multiple vehicles but it is not possible to distinguish the characteristics of the other vehicles.
The data are classified using the therapeutic groups of the British National Formulary.
Finally, the data is classified using a number of high-dimensional tools, either in a model of two classes (comparing untreated with immunized mice) or four classes (comparing untreated mice with day 5 immunized, day 14 immunized and day 60 immunized).
The surveyed data was classified using the Analysis Hierarchy Process (AHP) method.
Finally, the test data is classified using the trained model.
The diagnoses in hospital data were classified using ICD-10-AM (International Statistical Classification of Diseases and Related Health Problems Tenth Revision, Australian Modification).
BEACH data is classified using the ICPC-2PLUS coding system, the international standard for classifying primary care data.
Landsat Thematic Mapper 5 data and ancillary data were classified using the random forests approach.
These data were classified using the NAMCS Reason for Visit Classification System, which distinguishes among symptoms, diseases, diagnostic/screening/preventive interventions, treatments, and injuries [ 7].
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