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公开(公告)号：US11783948B2
公开(公告)日：2023-10-10
申请号：US16222289
申请日：2018-12-17
摘要： 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.
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公开(公告)号：US20220270132A1
公开(公告)日：2022-08-25
申请号：US17679212
申请日：2022-02-24
发明人： Daniel M. Gruen , Nicola Palmarini , Olivia Choudhury , Panagiotis Karampourniotis , Issa Sylla , Morgan Foreman
摘要： 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.
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公开(公告)号：US20210012374A1
公开(公告)日：2021-01-14
申请号：US16509248
申请日：2019-07-11
发明人： Daniel M. Gruen , Nicola Palmarini , Olivia Choudhury , Panagiotis Karampourniotis , Issa Sylla , Morgan Foreman
摘要： 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.
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公开(公告)号：US11663625B2
公开(公告)日：2023-05-30
申请号：US17679212
申请日：2022-02-24
发明人： Daniel M. Gruen , Nicola Palmarini , Olivia Choudhury , Panagiotis Karampourniotis , Issa Sylla , Morgan Foreman
IPC分类号： G06Q30/0241 , G06N5/047 , G06N20/00 , G06F40/30
CPC分类号： G06Q30/0248 , G06F40/30 , G06N5/047 , G06N20/00
摘要： 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.
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公开(公告)号：US11263663B2
公开(公告)日：2022-03-01
申请号：US16509248
申请日：2019-07-11
发明人： Daniel M. Gruen , Nicola Palmarini , Olivia Choudhury , Panagiotis Karampourniotis , Issa Sylla , Morgan Foreman
摘要： 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.
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