Abstract: By intercepting a natural language communication of a protected party, the communication is monitored, wherein the protected party is a human being. Within the monitored communication using a natural language processing engine, a natural language interaction between the protected party and a second party is detected. To determine an interaction pattern, the natural language interaction is analyzed. The interaction pattern includes data derived from the monitored communication, metadata of the protected party, and metadata of the second party. Using the interaction pattern and an interaction behavior model, an adverse result of the natural language interaction is predicted, wherein the adverse result comprises an economic loss to the protected party. By notifying the protected party, the predicted adverse result is intercepted.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate anonymizing a network based on factors including network attributes, node attributes, and edge attributes describing connections between nodes are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an anonymizing component that can anonymize network information of the network based on a network attribute for a network and a node attribute of a first node of the network, resulting in an anonymized network.

Abstract: By intercepting a natural language communication of a protected party, the communication is monitored, wherein the protected party is a human being. Within the monitored communication using a natural language processing engine, a natural language interaction between the protected party and a second party is detected. To determine an interaction pattern, the natural language interaction is analyzed. The interaction pattern includes data derived from the monitored communication, metadata of the protected party, and metadata of the second party. Using the interaction pattern and an interaction behavior model, an adverse result of the natural language interaction is predicted, wherein the adverse result comprises an economic loss to the protected party. By notifying the protected party, the predicted adverse result is intercepted.

Abstract: By intercepting a natural language communication of a protected party, the communication is monitored, wherein the protected party is a human being. Within the monitored communication using a natural language processing engine, a natural language interaction between the protected party and a second party is detected. To determine an interaction pattern, the natural language interaction is analyzed. The interaction pattern includes data derived from the monitored communication, metadata of the protected party, and metadata of the second party. Using the interaction pattern and an interaction behavior model, an adverse result of the natural language interaction is predicted, wherein the adverse result comprises an economic loss to the protected party. By notifying the protected party, the predicted adverse result is intercepted.

Abstract: Provided is a method, computer program product, and system for recommending a patient obtain a second medical opinion (SMO) from a second healthcare provider. A processor may collect a first set of attributes associated with a first healthcare provider, the first healthcare provider having identified a first medical opinion for treating a medical condition of a patient. The processor may identify a plurality of healthcare providers that have treated a similar medical condition for one or more other patients. The processor may compare the first set of attributes to a plurality of attributes related to the plurality of healthcare providers. The processor may identify a second healthcare provider based on analyzing similarities between a second set of attributes related to the second healthcare provider and the first set of attributes. Once identified, the processor may provide a recommendation to the patient to obtain a SMO from the second healthcare provider.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate anonymizing a network based on factors including network attributes, node attributes, and edge attributes describing connections between nodes are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an anonymizing component that can anonymize network information of the network based on a network attribute for a network and a node attribute of a first node of the network, resulting in an anonymized network.

Abstract: A computer-implemented method can include obtaining first website data that corresponds to content displayed on a first website. The method can further include obtaining a set of privacy policy rules that corresponds to the first website. The method can further include determining a first data-sharing relationship between the first website and a second website. The method can further include comparing the set of privacy policy rules to the first data-sharing relationship. The method can further include identifying a discrepancy between the set of privacy policy rules and the first data-sharing relationship. The method can further include generating a notification in response to identifying the discrepancy.

Abstract: By intercepting a natural language communication of a protected party, the communication is monitored, wherein the protected party is a human being. Within the monitored communication using a natural language processing engine, a natural language interaction between the protected party and a second party is detected. To determine an interaction pattern, the natural language interaction is analyzed. The interaction pattern includes data derived from the monitored communication, metadata of the protected party, and metadata of the second party. Using the interaction pattern and an interaction behavior model, an adverse result of the natural language interaction is predicted, wherein the adverse result comprises an economic loss to the protected party. By notifying the protected party, the predicted adverse result is intercepted.