摘要
Clinical databases have accumulated large quantities of information about patients and their medical conditions. Current challenges in biomedical research and clinical practice include information overload and the need to optimize workflows, processes and guidelines, to increase capacity while reducing costs and improving efficiency. There is an urgent need for integrative and interactive machine learning solutions, because no medical doctor or biomedical researcher can keep pace today with the increasingly large and complex data sets – often called "Big Data".
