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Architektura systemu wspomagania decyzji medycznych wykorzystująca technologię przetwarzania danych big data
Architecture of clinical decision support system using the Big Data concept
Clinical decision support systems based on relational and multidimensional technology lack the ability to process all available data because of its volume and format. On the other hand, NoSQL repositories offer great flexibility and speed in terms of data processing but require programming skills. The proposed solution is to combine both technologies in a single analytical system. A dual view of the data gathered in the repository allows to use data-mining tools, while the Big Data technology delivers the necessary data. Predictive models are then published as services in the Analytics‐as‐a-Service model to be run by medical staff in everyday practice. The unique feature of the solution is a possibility to score a medical case immediately, as the relevant data is available in the source systems.
Table of contents of issue 35
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