Abstract: Embodiments of the invention provide apparatuses, systems, and methods for more accurate remote monitoring of a user's body. In some embodiments, a system for monitoring a user's body comprises a wearable device, a video sensor attached at a collar portion of the wearable device, a plurality of audio sensors spaced and attached at a body portion of a wearable device and a controller configured to determine a Jugular Venous Pressure (JVP) of the user, and determine audio characteristics of an output of the plurality of audio sensors to generate an audio heat map corresponding to at least one internal organ of the user.

Abstract: Embodiments of the invention provide apparatuses, systems, and methods for more accurate remote monitoring of a user’s body. In some embodiments, a system for monitoring a user’s body comprises a wearable device, a video sensor attached at a collar portion of the wearable device, a plurality of audio sensors spaced and attached at a body portion of a wearable device and a controller configured to determine a Jugular Venous Pressure (JVP) of the user, and determine audio characteristics of an output of the plurality of audio sensors to generate an audio heat map corresponding to at least one internal organ of the user.

Abstract: Embodiments of the invention provide apparatuses, systems, and methods for more accurate remote monitoring of a user's body. In some embodiments, a system for monitoring a user's body comprises a wearable device, a video sensor attached at a collar portion of the wearable device, a plurality of audio sensors spaced and attached at a body portion of a wearable device and a controller configured to determine a Jugular Venous Pressure (JVP) of the user, and determine audio characteristics of an output of the plurality of audio sensors to generate an audio heat map corresponding to at least one internal organ of the user.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine learning to predict micropopulation risk scores and use the micropopulation risk scores to predict a composite risk score. The composite risk score and it associated attributes can be used to provide notifications/messages and provide dynamic content to a mobile app.

Abstract: Embodiments of the invention provide apparatuses, systems, and methods for more accurate remote monitoring of a user's body. In some embodiments, a system for monitoring a user's body comprises a wearable device, a video sensor attached at a collar portion of the wearable device, a plurality of audio sensors spaced and attached at a body portion of a wearable device and a controller configured to determine a Jugular Venous Pressure (JVP) of the user, and determine audio characteristics of an output of the plurality of audio sensors to generate an audio heat map corresponding to at least one internal organ of the user.

Abstract: There is a need for solutions that perform predictive natural language processing with improved efficiency and/or accuracy. This need can be addressed by, for example, by detecting an anomaly condition in the service provider system based on affected user activity data items associated with the service provider system; determining affected user profiles, wherein each affected user profile is predicted to experience the anomaly condition; determining, for each group of affected user profiles, affected user intentions based user activity data items associated with the group of affected user profiles; generating a support communication for each affected user profile in the group of affected user profiles based on the affected user intentions for the group; and causing a transmission of each support communication to each affected user profile in the group of affected user profiles.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine learning to predict micropopulation risk scores and use the micropopulation risk scores to predict a composite risk score. The composite risk score and it associated attributes can be used to provide notifications/messages and provide dynamic content to a mobile app.

Abstract: There is a need for solutions that perform predictive natural language processing with improved efficiency and/or accuracy. This need can be addressed by, for example, by detecting an anomaly condition in the service provider system based on affected user activity data items associated with the service provider system; determining affected user profiles, wherein each affected user profile is predicted to experience the anomaly condition; determining, for each group of affected user profiles, affected user intentions based user activity data items associated with the group of affected user profiles; generating a support communication for each affected user profile in the group of affected user profiles based on the affected user intentions for the group; and causing a transmission of each support communication to each affected user profile in the group of affected user profiles.