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Validation of insurance databases is necessary if they are to be used in research.
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A similar level of the estimated correctness for diagnostic information was found for investigated body systems in a validation of an equine insurance data base, whereas the correctness for specific diagnoses was lower (84%) [ 22].
Distinction between skin and hooves would have facilitated comparison with the validation of equine medical insurance data [ 22] but this was barred by the low number of observations in this system in the present study.
However, a validation on the basis of insurance claims might be more conservative in cases where model errors are more pronounced in areas with a high density of values at risk.
Further validation of treatment and comorbidity from insurance claims data would strengthen this type of research in the future.
A validation of the diagnosis in the insurance claims database is needed as part of a larger project focusing on the epidemiology of CAD among Swedish dogs.
The validation metrics were calculated with two different datasets; a dataset of event documentations reporting flooded areas and a dataset of insurance claims.
That is the point of insurance.
Nor the soaring price of insurance.
Perhaps even more, in case of insurance?
It is a kind of insurance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com