Abstract: Various aspects of the subject technology relates to systems and methods for transition of care decision intervention using machine learning. A system may be configured to receive patient data including one or more features values for a plurality of features associated with associated with one or more patients. The system may determine a first transition of care decision score for a patient by processing the patient data through a first, historical decision-derived transition of care decision model, and also determine at least a second transition of care decision score for the patient by processing the patient data through at least a first, expert recommendation-derived transition of care decision model. The system may calculate a first transition of care decision intervention priority score for the patient based on a degree of difference between the first and second transition of care decision scores for the patient.

Abstract: In embodiments, methods and systems for electronically capturing consumer location data for consumer behavior analysis may be provided. The location data may be gathered for one or more consumers from any suitable source. In some cases, the location data may be gathered using electronic devices associated with consumers, such as mobile phones. The gathered data may be analyzed to determine behavior patterns or other characteristics of the one or more consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity.

Abstract: In embodiments, methods and systems for electronically capturing consumer location data for consumer behavior analysis may be provided. The location data may be gathered for one or more consumers from any suitable source. In some cases, the location data may be gathered using electronic devices associated with consumers, such as mobile phones. The gathered data may be analyzed to determine behavior patterns or other characteristics of the one or more consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity.

Abstract: In embodiments, methods and systems for electronically capturing consumer location data for consumer behavior analysis may be provided. The location data may be gathered for one or more consumers from any suitable source. In some cases, the location data may be gathered using electronic devices associated with consumers, such as mobile phones. The gathered data may be analyzed to determine behavior patterns or other characteristics of the one or more consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity.

Abstract: In embodiments, methods and systems for electronically capturing consumer location data for consumer behavior analysis may be provided. The location data may be gathered for one or more consumers from any suitable source. In some cases, the location data may be gathered using electronic devices associated with consumers, such as mobile phones. The gathered data may be analyzed to determine behavior patterns or other characteristics of the one or more consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity.

Abstract: A method and system for adjusting a process for identifying settings visited by a consumer based at least in part on electronically-derived consumer location data. A method and system are provided for gathering location data for consumers and identifying points of interest (POIs) visited by the consumers based on the location data. Based on a comparison of settings identified by a process to settings that are identified in data collected from external data sources, the system may determine whether to adjust the visit detection process. The system may adjust the visit detection process by adjusting a way in which settings are defined in a data set, by adding or removing settings from a data set, and/or by changing a manner in which the visit detection process determines whether a location corresponds to a setting in the data set.

Abstract: In embodiments, methods and systems for consumer behavior analysis using electronically-captured consumer location data may be provided. The location data may be gathered for one or more consumers. The gathered data may be analyzed to determine behavior patterns or other characteristics of the one or more consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity.

Abstract: A method and system for adjusting a process for identifying settings visited by a consumer based at least in part on electronically-derived consumer location data. A method and system are provided for gathering location data for consumers and identifying points of interest (POIs) visited by the consumers based on the location data. Based on a comparison of settings identified by a process to settings that are identified in data collected from external data sources, the system may determine whether to adjust the visit detection process. The system may adjust the visit detection process by adjusting a way in which settings are defined in a data set, by adding or removing settings from a data set, and/or by changing a manner in which the visit detection process determines whether a location corresponds to a setting in the data set.

Abstract: A method and system for gathering data relating to consumer behavior based at least in part on consumer location data. A method and system are provided for gathering data from one or more external data sources that store data relating to a consumer, a business, and/or an environment of consumer-business interactions. The system may request data from external sources based on an analysis of the electronically-derived consumer location data. In addition, location-derived insights can be used to segment and further inform and refine the information gathered from external data sources.

Abstract: A method and system for gathering consumer feedback and information based at least in part on location data relating to movement of a consumer. A method and system are provided for gathering opinions and feedback from and having interactions with consumers to collect consumer responses to tasks requested by the system. The system may request that a consumer perform a task based on an analysis of the electronically-derived consumer location data as well as previously captured opinions and feedback. In addition, location-derived insights can be used to segment and further inform and refine the information gathered from consumers.

Abstract: In embodiments, methods and systems for performing studies of consumer behavior are provided. The consumer behavior may have been determined using electronically-captured consumer location data for multiple consumers. The gathered data may be analyzed to determine behavior patterns or other characteristics of the multiple consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity as results of a study of the consumer behavior.

Abstract: In embodiments, methods and systems for performing studies of consumer behavior are provided. The consumer behavior may have been determined using electronically-captured consumer location data for multiple consumers. The gathered data may be analyzed to determine behavior patterns or other characteristics of the multiple consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity as results of a study of the consumer behavior.

Abstract: In embodiments, methods and systems for consumer behavior analysis using electronically-captured consumer location data may be provided. The location data may be gathered for one or more consumers. The gathered data may be analyzed to determine behavior patterns or other characteristics of the one or more consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity.

Abstract: In embodiments, methods and systems for electronically capturing consumer location data for consumer behavior analysis may be provided. The location data may be gathered for one or more consumers from any suitable source. In some cases, the location data may be gathered using electronic devices associated with consumers, such as mobile phones. The gathered data may be analyzed to determine behavior patterns or other characteristics of the one or more consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity.

Abstract: In embodiments, methods and systems for performing studies of consumer behavior are provided. The consumer behavior may have been determined using electronically-captured consumer location data for multiple consumers. The gathered data may be analyzed to determine behavior patterns or other characteristics of the multiple consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity as results of a study of the consumer behavior.