Abstract: The present disclosure generally relates to generating a care and treatment plan for a patient using machine-learning techniques. An exemplary computer-implemented method comprises: receiving a plurality of care records; determining, based on a first machine learning model, that the plurality of care records are to be merged into an episode, wherein the episode is a predefined data representation comprising a predefined collection of data fields; identifying, from the plurality of care records, a plurality of attribute values corresponding to a particular attribute; determining, based on a second machine learning model, an aggregated attribute value based on the plurality of attribute values; updating, based on the aggregated attribute value, a data field of the episode; adding the episode to the patient profile, wherein the patient profile comprises a plurality of episodes associated with the patient.

Abstract: Embodiments of the present disclosure include systems and methods for generating a medical recommendation. Methods according to the present disclosure include receiving patient data associated with a first patient and receiving second patient data associated with a second patient. The methods further include inputting the first patient data and the second patient data into a trained machine-learning model to determine a first set of one or more risk values for the first patient and a second set of one or more risk values for the second patient. The methods further include comparing the first set of one or more risk values and the second set of one or more risk values to determine a priority for distributing care to the first patient and the second patient. In accordance with the determination that the first patient has priority, the system can generate a medical recommendation.

Abstract: The present disclosure relates to providing personalized prediction and prevention of various types of medical events (e.g., emergency department visits, hospital admissions, complications) using machine-learning algorithms. An exemplary method comprises: obtaining a plurality of feature values of the patient; providing the plurality of feature values to a set of one or more trained machine-learning models to obtain: a first probabilistic value indicating a likelihood of a future medical event, a second probabilistic value indicating a likelihood of a reason for the future medical event, a third probabilistic value indicating a likelihood that the future medical event can be prevented, displaying, on the display, a risk value of the future medical event based on the first probabilistic value, a reason of the future medical event based on the second probabilistic value, an interceptability value of the future medical event based on the third probabilistic value.

Abstract: Methods and systems for improving a presentation function of a client device based on feedback data indicative of presentation effectiveness are disclosed. A server transmits, over a communication network, a first instruction that configures the client device to provide a first presentation via a user interface to an individual. The server receives physiological data collected by one or more sensors of the client device and associated with the individual and the first presentation. Based on feedback data, including the received physiological data, representative of behavior change subject to the first presentation, the server computes an effectiveness assessment of the first presentation.

Abstract: Some embodiments of the present disclosure provide a method that includes compiling, for each of a plurality of individuals, health-related data in a plurality of categories, determining that a given individual has a particular type of health-related data in a particular set of one or more categories, and based on the determination that the given individual has the particular type of health-related data in the particular set of one or more categories, transmitting from a server device to a client device associated with the given individual, over a communication network, a first instruction configured to cause the client device to present a first incentive designed to cause a change in the given individual's health-related data. The first incentive may make use of a first type of motivational foundation. The method may also include determining whether the first incentive was effective or ineffective.

Abstract: In a process, a power mode indicator is transmitted from a content server and is received by a Portable Communication Device (PCD). The indicator is indicative of a power mode potentially available to a circuit block in the PCD. The circuit block exhibits different levels of power consumption when operated in different power modes and is operated in the indicated power mode in response to the received power mode indicator. The content server may be a stream server. The circuit block may be operated in the power mode to receive/process a data stream.

Abstract: A technique for recording information in a battery operated device is provided such that quality level of the recorded information may be changed “on the fly.” In one embodiment, while persistently recording information at a first quality level, the battery operated device may, in response to an input a desire or need to change recording quality level, thereafter persistently record the information at a second quality level different from the first quality level, without interrupting the continuity of the recording session. In a presently preferred embodiment, the information being recorded may comprise video information or audio information. Subsequent inputs indicating the need to change recording quality level yet again may also be received thereby causing the battery operated device to persistently record the information at yet another quality level, which quality level may be the same as the first quality level.

Abstract: A method and apparatus for detecting an error compares a hardwired reference value to a corresponding predetermined value and generates an error indication in response to a change in the predetermined value. In one embodiment, the predetermined value is set to be the same as the hardwired reference value and in response to an electrostatic discharge event or any other suitable cause of error, the predetermined value changes so that a comparison indicates that an error has occurred. An error indication is then generated which may be, for example, an interrupt to recovery logic that generates recovery control information to reset a functional block that was corrupted or to perform in an entire chip reset if desired.

Abstract: In a process, a power mode indicator is transmitted from a content server and is received by a Portable Communication Device (PCD). The indicator is indicative of a power mode potentially available to a circuit block in the PCD. The circuit block exhibits different levels of power consumption when operated in different power modes and is operated in the indicated power mode in response to the received power mode indicator. The content server may be a stream server. The circuit block may be operated in the power mode to receive/process a data stream.

Abstract: A technique for recording information in a battery operated device is provided such that quality level of the recorded information may be changed “on the fly.” In one embodiment, while persistently recording information at a first quality level, the battery operated device may, in response to an input a desire or need to change recording quality level, thereafter persistently record the information at a second quality level different from the first quality level, without interrupting the continuity of the recording session. In a presently preferred embodiment, the information being recorded may comprise video information or audio information. Subsequent inputs indicating the need to change recording quality level yet again may also be received thereby causing the battery operated device to persistently record the information at yet another quality level, which quality level may be the same as the first quality level.

Abstract: A method and apparatus for detecting an error compares a hardwired reference value to a corresponding predetermined value and generates an error indication in response to a change in the predetermined value. In one embodiment, the predetermined value is set to be the same as the hardwired reference value and in response to an electrostatic discharge event or any other suitable cause of error, the predetermined value changes so that a comparison indicates that an error has occurred. An error indication is then generated which may be, for example, an interrupt to recovery logic that generates recovery control information to reset a functional block that was corrupted or to perform in an entire chip reset if desired.