Abstract: It is an object of the invention to improve a user's breathing for a specific application (e.g. diagnostic imaging, falling asleep improvement (shortening sleep onset), delivery, tinnitus control therapy, CORD, blood pressure control). This object is achieved by a breathing adaptation system configured for influencing a breathing parameter of a user's breathing pattern in order to meet a goal of decreasing or increasing the influenced breathing parameter to a certain extent in a user specific manner. The breathing adaptation system comprises a sensor, configured for monitoring a current value of the influenced breathing parameter of the user. The breathing adaptation system further comprises a feedback unit configured for providing feedback to the user about a preferred value of the influenced breathing parameter, wherein the preferred value is different from the current value of the influenced breathing parameter (310).

Abstract: A software framework is provided for building a software-based intelligent agent. A configuration file may be written in the format of a configuration language to specify how an agent is constructed, for example by specifying a set of configuration elements and their parameters. To build the intelligent agent, the configuration file may be parsed to create an internal representation of how the agent is structured. This internal representation may be used by an agent builder to create a functional intelligent agent, e.g. one that is executable on a particular target platform. The built intelligent agent may allow its state to be retrieved, for example by the intelligent agent being capable of autonomously outputting a state file. The configuration file together with the description of the intelligent agent's state may allow a ‘stateful’ copy of the intelligent agent to be created.

Abstract: The present system is configured to generate an ensemble prediction model to provide a care services combination for a user. The ensemble prediction model is configured to predict the effectiveness of individual care services for users. The ensemble prediction model accounts for effects of feature combinations on outcomes for the users. The present system is configured such that output from the ensemble prediction model is used during a single agent search to determine optimal combinations of services that minimize the risk of emergency re-hospitalization and/or other negative patient outcomes.

Abstract: The present disclosure pertains to a method and system configured for generating one or more statements. In some embodiments, the system comprises at least one processor; memory operatively connected with the at least one processor; a communication component operatively connected to the at least one processor and configured to communicate with a user device via a network. The at least one processor is configure by machine-readable instructions to receive one or more measurements pertaining to a parameter of a user from the user device; generate one or more statements based on the one or more measurements and one or more templates; and transmit, via the network, the one or more statements for presentation on the user device.

Abstract: In an embodiment, a computer-implemented method, comprising: receiving contextual information for a user; updating a user state based on the received contextual information; providing electronic interventions to the user over a first interval by executing a first intervention algorithm based on the updated user state; and providing electronic interventions to the user over a second interval based on executing a second intervention algorithm that maximizes a reward function based on a further updated user state of the user and the electronic interventions of the first interval, the second intervention algorithm of a different type than the first intervention algorithm.

Abstract: Methods and systems for distributed coaching. A plurality of distributed intervention processes each calculate a priority for an intervention technique based on received user data. Then, a central arbiter process selects at least one intervention technique based on the associated priorities to be transmitted to a user to provide a tailored coaching experience for the user.

Abstract: Various embodiments described herein relate to a system, method, and medium for coaching a user including one or more of the following: a plurality of instructions including variations of a reminder message to perform an action, wherein at least two of the instructions are stored in at least a first and a second delivery format; a physiological sensor for monitoring a physiological parameter of the user; and a processor unit configured to carry out the steps of: providing a first instruction from the plurality of instructions in the first delivery format; determining a level of compliance towards the goal based on the monitored physiological parameter; selecting a second instruction from the plurality of instructions based on the level of compliance towards the goal, wherein the second instruction is in either the first or the second delivery format, and is reduced in instruction content compared to the first instruction.