Abstract: A computer-implemented method, system, and computer program product are provided for determining cognitive issues. The method includes building, by a processor device with social network data, a patient model for social interactions between a patient and other people. The method also includes computing, by the processor device, changes between the patient model and new social network data. The method additionally includes evaluating, by the processor device, the changes between the patient model and new social network data to generate evaluated changes. The method further includes determining, by the processor device, a patient metric score responsive the evaluated changes. The method also includes controlling an operation of a processor-controlled device responsive to the patient metric score.

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: 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: A computer-implemented method, system, and computer program product are provided for determining cognitive issues. The method includes building, by a processor device with social network data, a patient model for social interactions between a patient and other people. The method also includes computing, by the processor device, changes between the patient model and new social network data. The method additionally includes evaluating, by the processor device, the changes between the patient model and new social network data to generate evaluated changes. The method further includes determining, by the processor device, a patient metric score responsive the evaluated changes. The method also includes controlling an operation of a processor-controlled device responsive to the patient metric score.

Abstract: A device including an enclosure secured to a mobile entity, wherein the enclosure includes a first sensor module for obtaining first sensor information; and a radio frequency (RF) device for receiving the first sensor information and transmitting a first communication signal.