Abstract: Embodiments for generating personalized advice to a user by a processor. A health state of a user may be learned from feedback information collected from a plurality of data sources for providing one or more customized communications. One or more customized communications may be provided to a user to alter one or more activities of the user so as to avoid one or more possible negative impacts upon the health state of the user.

Abstract: A capability to identify and visualize relationships and commonalities amongst record entities is provided. A plurality of entities are extracted from one or more records. Each extracted entity is associated with a respective feature vector within a vector space of a feature matrix. The feature vectors are distributed within the feature matrix based on semantic relationships amongst the entities of a corpus. Multidimensional coordinates within a dimensionally-reduced vector space of the feature matrix are generated for each extracted entity. One or more cells of a cellular presentation of the feature matrix are identified such that each identified cell represents one or more respective extracted entities. Each cell represents (i) a respective range of multidimensional coordinates within the dimensionally-reduced vector space of the feature matrix and (ii) one or more feature vectors of the plurality of feature vectors within the feature matrix.

Abstract: A capability to identify and visualize relationships and commonalities amongst record entities is provided. A plurality of entities are extracted from one or more records. Each extracted entity is associated with a respective feature vector within a vector space of a feature matrix. The feature vectors are distributed within the feature matrix based on semantic relationships amongst the entities of a corpus. Multidimensional coordinates within a dimensionally-reduced vector space of the feature matrix are generated for each extracted entity. One or more cells of a cellular presentation of the feature matrix are identified such that each identified cell represents one or more respective extracted entities. Each cell represents (i) a respective range of multidimensional coordinates within the dimensionally-reduced vector space of the feature matrix and (ii) one or more feature vectors of the plurality of feature vectors within the feature matrix.

Abstract: Embodiments for generating personalized advice to a user by a processor. A health state of a user may be learned from feedback information collected from a plurality of data sources for providing one or more customized communications. One or more customized communications may be provided to a user to alter one or more activities of the user so as to avoid one or more possible negative impacts upon the health state of the user.