Big mechanisms for processing big data in medical informatics

Unprecedented volumes of clinical data, both in structured and unstructured formats, as well as in multimedia format, give rise to new mechanisms of capitalizing the biomedical data. In order to capture the complex, causal and explanatory models of medical data and to facilitate retrieval of relevant information, big mechanisms operating on this medical big data need to be developed. This talk presents such a big mechanisms facilitated by a MapReduce implementation which generates automatically a Qualified Medical Knowledge Graph (QMKG) which can be used for retrieving patient cohorts with higher precision than state-of-the-art methods.