Abstract: Systems and methods are directed to optimizing survey parameters using machine learning. A network system monitors user activity of a plurality of users with respect to an application and provides a notification to users of the plurality of users that satisfy a trigger condition for providing the notification. The network system obtains feedback corresponding to the notification, whereby the feedback indicates whether each of the users accepted, rejected, or ignored the notification. A machine learning model is then trained using input data obtained from the feedback to optimize on one or more parameters used by the network system in providing a future notification. Based on the machine learning model, the future notification is presented to a further set of users using the one or more optimized parameters.

Abstract: Systems and methods are directed to optimizing survey parameters using machine learning. A network system monitors user activity of a plurality of users with respect to an application and provides a notification to users of the plurality of users that satisfy a trigger condition for providing the notification. The network system obtains feedback corresponding to the notification, whereby the feedback indicates whether each of the users accepted, rejected, or ignored the notification. A machine learning model is then trained using input data obtained from the feedback to optimize on one or more parameters used by the network system in providing a future notification. Based on the machine learning model, the future notification is presented to a further set of users using the one or more optimized parameters.

Abstract: Techniques and structures to facilitate management of log event messages, including transmitting one or more messages, each having a unique identifier (ID), to a computing device, generating a comparison checksum for each of the one or more messages, wherein each comparison checksum is associated with a unique ID corresponding to a message from which the comparison checksum was generated, performing an encryption on each comparison checksum and associated unique ID to generate encryption data and transmitting the encryption data to the computing device.

Abstract: Techniques and structures to facilitate management of log event messages, including transmitting one or more messages, each having a unique identifier (ID), to a computing device, generating a comparison checksum for each of the one or more messages, wherein each comparison checksum is associated with a unique ID corresponding to a message from which the comparison checksum was generated, performing an encryption on each comparison checksum and associated unique ID to generate encryption data and transmitting the encryption data to the computing device.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided for a plan of care. In one embodiment, assessments can be provided. Based on responses to the assessments, various problem, goal, and intervention workflows can be authored onto a patient's plan of care.

Abstract: Automated extensible user interface testing supports testing of a user interface of a program. Test data is accessed, the test data including multiple test steps. Each test step describes at least a part of a test to be performed on the user interface. For each of the multiple test steps, one or more application program interface (API) methods to invoke to carry out the part of the test is determined. This determination is based at least in part on the test data and on an identification from the API of methods supported by the API. Each of the one or more API methods is then invoked to carry out the part of the test. Verification can be performed to ensure, for example, that specified files were created, or registry values were changed, or user interface elements appear and exist.

Abstract: Automated extensible user interface testing supports testing of a user interface of a program. Test data is accessed, the test data including multiple test steps. Each test step describes at least a part of a test to be performed on the user interface. For each of the multiple test steps, one or more application program interface (API) methods to invoke to carry out the part of the test is determined. This determination is based at least in part on the test data and on an identification from the API of methods supported by the API. Each of the one or more API methods is then invoked to carry out the part of the test. Verification can be performed to ensure, for example, that specified files were created, or registry values were changed, or user interface elements appear and exist.