Abstract: Systems, computer-implemented methods, and computer program products to facilitate employing a probabilistic model to generate a continuous disease status index based on observational data are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that employs a probabilistic model to generate probability distributions of disease states of a disease of an entity based on observational data of the entity. The computer executable components can further comprise an index component that generates a disease status index of the disease based on the probability distributions of the disease states.

Abstract: Systems and methods that use multi-tasking and transfer learning with sparse gating mechanisms and domain knowledge to generate pheno-embeddings in a scalable manner that can improve the relevance of the patient embeddings from Electronic Health Records. A system, comprises at least one processor that executes the following computer executable components stored in memory: a structural pheno-embedding model that employs a hierarchical knowledge graph; a data augmentation component that expands on a sparse data set associated with the knowledge graph; and an embedding component that generates a specialized embedding for phenotypes using the structural pheno-embedding model and the augmented data set for a selected cohort.

Abstract: Systems and methods that use multi-tasking and transfer learning with sparse gating mechanisms and domain knowledge to generate pheno-embeddings in a scalable manner that can improve the relevance of the patient embeddings from Electronic Health Records. A system, comprises at least one processor that executes the following computer executable components stored in memory: a structural pheno-embedding model that employs a hierarchical knowledge graph; a data augmentation component that expands on a sparse data set associated with the knowledge graph; and an embedding component that generates a specialized embedding for phenotypes using the structural pheno-embedding model and the augmented data set for a selected cohort.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate employing a probabilistic model to generate a continuous disease status index based on observational data are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that employs a probabilistic model to generate probability distributions of disease states of a disease of an entity based on observational data of the entity. The computer executable components can further comprise an index component that generates a disease status index of the disease based on the probability distributions of the disease states.

Abstract: A method to determine a body pose of a user in a virtual reality or augmented reality system includes acquiring sensor data from a plurality of sensors in a garment worn by a user. The sensor data is processed to generate a processed sensor data set, wherein the processed sensor data set is scaled for the size of the user. The processed sensor data set is converted to a pose data set. The pose vector data set is then used by a viewer device to render the body pose of the user.

Abstract: A method and apparatus for dynamic adjustment of user profiles for a bundled application is disclosed. Multi-dimensional characteristic attributes of a plurality of players may be tracked and utilized to improve player experience, player retention, and detect abnormal behavior in game play. Player performance and interest may be assessed in real-time. Game independent characteristic attributes are defined for player profiles and are used to adjust a player's experience or preference level based on gaming results such as win-loss scores. Characteristic weights for a player's characteristic attributes are also defined. Methods and apparatus to select game sessions and players with similar interests or experiences are also disclosed. Methods for detecting abnormal patterns in game session behavior are also disclosed. Methods and apparatus for allowing users to opt out of the calibrations process are also disclosed.

Abstract: Methods and systems are disclosed herein to provide real-time shadowing service architectures and workflows to support dynamic event pattern parameter configuration, collection, filtering, learning, and profiling for users of one or more interactive platforms. The real-time shadowing service may receive a subset of application specific tags, generate tag values for the tags in the subset based on user behavior, and report the values for the tags in the subset. Further, the real-time shadowing service may collect data based on a list of tags for an engagement level related parameter vector (E.V.) and a competence level related parameter vector (C.V.). Further, the real-time shadowing service may map E.V. and C.V. for an event of interest (EoI) to an engagement level (E.L.) and competence level (C.L.) based on a model. The real-time shadowing service may also generate alerts based on detection rules, E.L. and C.L., and transmit the alerts.

Abstract: Reverse auction methods and systems are disclosed herein and include fast multi-round auction methods and services to pervasive mobile applications, supporting mobile users in a location sensitive environment. A buyer agent, on behalf of a buyer, may generate a reverse auction request and then monitor auction rounds of an auction initiated based on the request. The buyer agent may terminate the reverse auction upon the auction reaching a maximal round or terminal condition, or executing an optimization policy. The optimization policy may include local optimization. The local optimization may be based on the location of a buyer and seller in a small cell network (SCN). A seller agent may calculate a bidding price based on a seller's acceptable price range and an available time window. The seller agent may determine a time to stop bidding based on bidding price rules. An auction service may select N sellers for each buyer.

Abstract: Methods and apparatuses are described herein to identify the anonymous events which may belong to the same customer by providing inter-event virtual linkage sequence to link anonymous behavior data from multiple independent sessions. The behavior data may be encrypted without tracking or storing all other types of data such as contact information. An anonymous user may be identified and categorized based on rhythms of predictive behavior pattern sequences by extracting signatures the rhythms to provide fast content based search to identify one or more similar behavior event patterns from a set of data. The signatures may include multiple time series vectors, which may be matched to unique patterns. Personalized services may be offered to anonymous offer pools and may be based on event patterns categories defined and detected by customized rules. The application or game may use the data collection inter-session virtual link to pull the service offer.

Abstract: Embodiments for sharing a web session with privacy protected content with a between a primary user and a secondary user is described. A request may be transmitted to a service server by the primary user. The request may include a command to create a shared session to share portions of a web session with the secondary user and a first uniform resource locator (URL) corresponding with the web session to be shared. The primary user may mark content of the webpage as privacy protected content, which may not be shared with the secondary user. The privacy protected content may be replaced by content targeted to the secondary user during the shared session. The parameters and marked content may be transmitted to the service server. The primary user may receive a second URL for the shared session and may transmit it to the secondary user.