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Medical Data Science -- Extracting Health-related Knowledge from Big Data

Marcin Grzegorzek

On the one hand, the demographic change and the shortage of medical staff (especially in rural areas) critically challenge healthcare systems in industrialised countries. On the other hand, the digitalisation of our society progresses with a tremendous speed, so that more and more health-related data are available in a digital form. For instance, people wear intelligent glasses or/and smart watches, provide digital data with standardised medical devices (e.g., blood pressure and blood sugar meters following the standard ISO/IEEE 11073) or/and deliver personal behavioural data by their smartphones. Pattern recognition algorithms that automatically analyse and interpret that huge amount of heterogeneous data towards prevention (early risk detection), diagnosis, assistance in therapy/aftercare/rehabilitation as well as nursing will experience an extremely high scientific, societal and economic priority in the near future. All information about the talk is here

17.01.2018 - 16:15
D 239