Big Data in Medical Science–a Biostatistical View
Deutsches Ärzteblatt internationalPublished 27 February 2015Open access
Harald Binder, Maria Blettner
Citations55
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TL;DR
Big data techniques can be used to evaluate observational data derived from the routine care of entire populations, with clustering methods used to analyze therapeutically relevant patient subgroups, and can provide complementary information to clinical trials of the classic type.
Abstract
Big data techniques can be used, for example, to evaluate observational data derived from the routine care of entire populations, with clustering methods used to analyze therapeutically relevant patient subgroups. Such analyses can provide complementary information to clinical trials of the classic type. As big data analyses become more popular, various statistical techniques for causality analysis in observational data are becoming more widely available. This is likely to be of benefit to medical science, but specific adaptations will have to be made according to the requirements of the applications.
Keywords
Computer ScienceHealth ProfessionsBiochemistry, Genetics and Molecular Biology
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