Data integration and knowledge discovery in biomedical databases. Reliable information from unreliable sources

Data integration and knowledge discovery in biomedical databases. Reliable information from unreliable sources

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To better understand information about human health from databases we analyzed three datasets collected for different purposes in copyright: a biomedical database of older adults, a large quadruple topical ointment for dogs population survey across all adult ages, and vital statistics.Redundancy in the variables was established, and this led us to derive a generalized (macroscopic state) variable, being a fitness/frailty index that reflects both individual and group health status.Evaluation of the relationship between fitness/frailty and the mortality rate revealed that the latter could be expressed in terms of variables generally available from any cross-sectional database.In practical terms, this means that the risk of mortality might readily be assessed from standard biomedical appraisals strikketøy oppbevaring collected for other purposes.