SYSTEM AND METHOD FOR AUTOMATIC GENERATION OF A HIERARCHICAL TREE NETWORK AND THE USE OF TWO COMPLEMENTARY LEARNING ALGORITHMS, OPTIMIZED FOR EACH LEAF OF THE HIERARCHICAL TREE NETWORK

A system and method that generates a hierarchical tree network and uses linear-plus-nonlinear learning algorithms to form a consensus view on a member's future health status. Each leaf in the hierarchical tree network is homogeneous in clinical characteristics, experience period, and available data assets. Optimization is performed on each leaf so that features and learning algorithms can be tailored to local characteristics specific to each leaf.