Knowledge Mining and Embedding Learning for Complex Dynamic Information Networks

Knowledge Mining and Embedding Learning for Complex Dynamic Information Networks (KMELIN), will enable network analytics, modeling, and decision-making processes to take full advantage of network relationships. Because object contents are relatively static and stable, whereas relationships can evolve quickly and change dynamically, this research provides a game changing paradigm shift from content-oriented to relationship-oriented. This platform is more suitable for customized treatment planning, individual care, consolidated care coordination, and decision making.