Abstract: Methods, systems, and devices are provided for identifying hazards. According to one aspect, a computer-implemented method can include receiving a plurality of sensor data including one or more image files from a mobile device. The method can include generating one or more position and label pairs based on the plurality of sensor data. The method can include assigning a hazard recognition to each of the position and label pairs. The method can include assigning a score associated to each of the hazard recognitions. The method can include displaying a result including one or more image results based on the one or more image files, one or more hazard recognitions, the one or more hazard recognitions associated with at least one of the one or more image results, and one or more scores associated to each of the hazard recognitions.

Abstract: In one embodiment, a mobile data analysis system generates mobile reports. In this context, a mobile report represents information collected by a mobile device user and provided as input to a report form displayed by an associated mobile device. The collected information may, for example, include information relating to an activity or event, information relating to a particular person, entity, or location, or any combination thereof. A mobile report may be based on a report template. A report template defines one or more data fields and other property information to be included in a mobile report. A mobile report may be sent to a server to generate one or more data objects, and one or more data object links between the data objects from a first mobile report, the data objects from a second mobile report, and exiting data objects that are maintained at the server.

Abstract: Methods, systems, and devices are provided for identifying hazards. According to one aspect, a computer-implemented method can include receiving a plurality of sensor data including one or more image files from a mobile device. The method can include generating one or more position and label pairs based on the plurality of sensor data. The method can include assigning a hazard recognition to each of the position and label pairs. The method can include assigning a score associated to each of the hazard recognitions. The method can include displaying a result including one or more image results based on the one or more image files, one or more hazard recognitions, the one or more hazard recognitions associated with at least one of the one or more image results, and one or more scores associated to each of the hazard recognitions.

Abstract: Methods, systems, and devices are provided for identifying hazards. According to one aspect, a computer-implemented method can include receiving a plurality of sensor data including one or more image files from a mobile device. The method can include generating one or more position and label pairs based on the plurality of sensor data. The method can include assigning a hazard recognition to each of the position and label pairs. The method can include assigning a score associated to each of the hazard recognitions. The method can include displaying a result including one or more image results based on the one or more image files, one or more hazard recognitions, the one or more hazard recognitions associated with at least one of the one or more image results, and one or more scores associated to each of the hazard recognitions.

Abstract: In one embodiment, a mobile data analysis system generates mobile reports. In this context, a mobile report represents information collected by a mobile device user and provided as input to a report form displayed by an associated mobile device. The collected information may, for example, include information relating to an activity or event, information relating to a particular person, entity, or location, or any combination thereof. A mobile report may be based on a report template. A report template defines one or more data fields and other property information to be included in a mobile report. A mobile report may be sent to a server to generate one or more data objects, and one or more data object links between the data objects from a first mobile report, the data objects from a second mobile report, and exiting data objects that are maintained at the server.

Abstract: In one embodiment, a mobile data analysis system generates mobile reports. In this context, a mobile report represents information collected by a mobile device user and provided as input to a report form displayed by an associated mobile device. The collected information may, for example, include information relating to an activity or event, information relating to a particular person, entity, or location, or any combination thereof. A mobile report may be based on a report template. A report template defines one or more data fields and other property information to be included in a mobile report. A mobile report may be sent to a server to generate one or more data objects, and one or more data object links between the data objects from a first mobile report, the data objects from a second mobile report, and exiting data objects that are maintained at the server.

Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.

Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.

Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.

Abstract: Methods, systems, and devices are provided for identifying hazards. According to one aspect, a computer-implemented method can include receiving a plurality of sensor data including one or more image files from a mobile device. The method can include generating one or more position and label pairs based on the plurality of sensor data. The method can include assigning a hazard recognition to each of the position and label pairs. The method can include assigning a score associated to each of the hazard recognitions. The method can include displaying a result including one or more image results based on the one or more image files, one or more hazard recognitions, the one or more hazard recognitions associated with at least one of the one or more image results, and one or more scores associated to each of the hazard recognitions.

Abstract: A system and method to provide patient education prior to surgery or post-surgery is disclosed. The patient education can be customized based on different factors and provided in a progressive sequence. Patients may be required to complete patient educational lessons and also provide feedback to assess how they are doing. Due to a variety of patient circumstances and the potential for abrupt changes in patient health status prior to, during, or following a health procedure, it is necessary for patient education to adapt to a patient's changing needs. The disclosure describes a technique to assign patient education materials in an adaptive and responsive manner.

Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.

Abstract: In one embodiment, a mobile data analysis system generates mobile reports. In this context, a mobile report represents information collected by a mobile device user and provided as input to a report form displayed by an associated mobile device. The collected information may, for example, include information relating to an activity or event, information relating to a particular person, entity, or location, or any combination thereof. A mobile report may be based on a report template. A report template defines one or more data fields and other property information to be included in a mobile report. A mobile report may be sent to a server to generate one or more data objects, and one or more data object links between the data objects from a first mobile report, the data objects from a second mobile report, and exiting data objects that are maintained at the server.

Abstract: A mobile data analysis system is provided that enables mobile device location tracking, secure messaging, and real-time sharing of intelligence information, among other features. In one embodiment, a mobile data analysis system includes functionality for generating mobile reports. In this context, a mobile report represents information collected by a mobile device user and provided as input to a report form displayed by an associated mobile device. The collected information may, for example, include information relating to an activity or event, information relating to a particular person, entity, or location, or any combination thereof. A mobile report may be based on a report template. A report template defines one or more data fields and other property information to be included in a mobile report based on the report template.

Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.

Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.

Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.

Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.

Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.

Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.