Abstract: A method, system and apparatus for identifying and explaining events, including determining at least one event from a plurality of events, determining at least one outcome defined by an outcome plan, and identifying a relationship between the at least one event and the at least one outcome.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining a textual knowledge base; filtering the textual knowledge base to obtain a subset of the textual knowledge base, wherein the filtering is based on textual query data; generating reasoning data based on the subset of the textual knowledge base and the textual query data; generating classification data based on the subset of the textual knowledge base, the textual query data, and the reasoning data; and providing label data as output for the textual query data based on the classification data.

Abstract: Embodiments for generating personalized advice to a user by a processor. A health state of a user may be learned from feedback information collected from a plurality of data sources for providing one or more customized communications. One or more customized communications may be provided to a user to alter one or more activities of the user so as to avoid one or more possible negative impacts upon the health state of the user.

Abstract: Embodiments for implementing intelligent recommendations of convenient event opportunities by a processor. A group of entities may be identified for one or more event opportunities or the one or more event opportunities may be identified for the group of entities according to one or more entity selection criteria and one or more event criteria. The one or more event opportunities and the group of entities may be matched according to a level of convenience for attending the one or more event opportunities of the group of entities. The one or more matching event opportunities may be ranked and suggested to the group of entities.

Abstract: A system and method for analyzing and explaining the temporal evolution of policies. The analysis of the temporal evolution of policies includes determining semantically related changes in the text of the corresponding policies over time and across the different versions of the (two or more) policy documents. An explanation of the temporal evolution of policies is provided consisting of human interpretable information relating each change to one or more events and/or contextual data. A next steps policy change is also suggested that includes a set of policy conditions based on potential future changes of similar policies and contextual data and event data. The suggestions are related to the policy relevant to the target cohort or individual. The system adapts machine learned models by receiving user feedback provided on an analysis of the correctness of the temporal evolution of policies, corresponding explanations and suggestions of the next actions.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises identifying claim data from a received data set associated with a user; analyzing the identified claim data based on a historical database of claim information associated with the user; retrieving expert information associated with the analysis of the identified claim data; extracting the identified claim data based on a comparison of the analysis of identified claim data and the retrieved expert information associated with the claim data by normalizing a range of features of the analyzed data; dynamically determining an overall risk score associated with the extracted claim data; and dynamically transmitting the extracted claim data to a different computing device associated with a different user.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate contextual comparison of semantics in conditions of different policies are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a comparison component that contextually compares semantics of conditions in policy data of different policies based on a feature of at least one entity. The computer executable components further comprise a contextualization component that employs a model to provide a contextual explanation of how a first condition in first policy data of a first policy is semantically different from a second condition in second policy data of a second policy based on the feature of the at least one entity.

Abstract: A processor may identify a task to be performed by a group of users. The processor may determine one or more requirements for performance of the task. The processor may determine, from one or more categories of users, potential users for the group of users. The processor may analyze one or more metrics of the potential users, where the one or more metrics of the potential users includes a first physical metric. The processor may generate, utilizing an AI model, one or more suggested groups of suggested users based on the one or more metrics of the potential users.

Abstract: Extracting demographic features from audio streams in a crowd environment includes receiving audio stream signals from a predefined geographical area containing a plurality of individuals, recording the received audio stream signals, extracting demographic features from the recorded audio stream signals, aggregating the extracted demographic features, storing the aggregated demographic features in a database and analyzing aggregated demographic features to generate a summary of demographic characteristics of the plurality of individuals in the predefined geographical area. Demographic features may be aggregated at different levels of granularity. The method and system may include extracting spatial information of the recorded audio stream signals within the geographical area, determining spatial distribution of the aggregated demographic features within the geographical area based on the extracted spatial information and including the spatial distribution in the summary of demographic characteristics.

Abstract: Embodiments for intelligent interpretation of image processing results using machine learning in a computing environment by a processor. One or more data sets may be transformed into one or more pseudo-image representations to enable one or more image processing tasks for image processing. An interpretation of an image processing task result from applying the one or more image processing tasks on the one or more pseudo-image representations generated from one or more data sets.

Abstract: Embodiments are disclosed for a method. The method includes generating statistical models of circadian rhythms based on circadian rhythm data generated by mobile computing devices of occupants of a building having a building automation system. The method also includes identifying room occupants of a room disposed within the building. Additionally, the method includes determining ambient settings for an ambient system operated by the building automation system based on a subset of the statistical models, wherein the subset corresponds to the identified room occupants. The method further includes determining a trade-off ambient setting based on the ambient settings.

Abstract: Various embodiments are provided for providing intelligent data utility constraint information in a computing environment are provided. One or more utility constraints may be extracted from a dataset and a set of queries and applications to infer one or more data transformations to apply to selected data.

Abstract: Various embodiments are provided for implementing intelligent backup plan creation by a processor in a computing environment. One or more files or directories managed by one or more file hosting services, cloud computing services, or a combination thereof may be identified from among a plurality of files or directories associated with a backup plan. A backup operation may be performed according to the backup plan by only referencing as opposed to including entire content of the one or more files or directories that are managed by the one or more file hosting services, the cloud computing services, or a combination thereof.

Abstract: Embodiments for providing activity feedback are provided. Information associated with a user performing an activity is received. A user biomechanical representation is generated based on the received information. A corpus associated with the activity is analyzed. An ideal biomechanical representation is generated based on the analyzing of the corpus associated with the activity. The user biomechanical representation is compared to the ideal biomechanical representation. Feedback for the user is generated based on the comparison of the user biomechanical model to the ideal biomechanical representation.

Abstract: Embodiments for intelligent recommendation of useful medical actions to a user by a processor. One or more useful medical actions may be cognitively recommended with evidence in support thereof for impacting a health state of a user according to historical data collected from one or more data sources, one or more user profiles, a domain knowledge, feedback data, or a combination thereof. The one or more useful medical actions may be ranked according to a scoring criteria, the domain knowledge, the historical data, a set of rules, previously recommended medical actions, or a combination thereof.

Abstract: A system, computer program product, and method is described to propose a method to automatically suggest a visualization providing the best insight for a given dataset, by maximizing an utility function computed on properties of the input data, and previously used visualizations by the same user and for the same data. In one example method for recommending a data visualization in a computer system includes receiving at least one input dataset and at least one set of previous visualizations. A utility function is accessed. A set of potential visualizations is computed using the input dataset and the set of previous visualizations. A recommendation is selected for a proposed visualization from the set of potential visualizations by maximizing a value of the utility function, whereby the proposed visualization is a new visualization not in the set of previous visualizations.

Abstract: Embodiments for intelligent application scenario testing and error detection by a processor. One or more modified application scenarios may be automatically generated from an initial application scenario having configuration data and a plurality of operations relating to an error. The one or more modified application scenarios are variations of the initial application. The one or more modified application scenarios may be executed to detect the existence or non-existence of the error in the one or more modified application scenarios.

Abstract: A system, method and computer program product for augmenting, in real-time, queries/questionnaires administered to a subject by coupling the physiological response of the subject for a given question-answer pair. Further, a method/system augments/annotates answers to questionnaires/surveys/etc. with automatically detected physiological or emotional reactions of the person answering the question/survey/etc. In an embodiment, methods are implemented to: create an augmented representation of question-answer-emotion (i.e., annotating questions/answers from assessments to physiological reactions); and consider the augmented representation and the user profile to suggest actions based on such associations.

Abstract: Embodiments for implementing intelligent ranking of sections of clinical practice guidelines by a processor. One or more clinical practice guidelines (CPGs) may be identified and analyzed. A score may be assigned to one or more sections of the CPGs according evidential data identified in one or more data sources. The one or more sections of the CPGs may be ranked according to the scoring.

Abstract: Embodiments for providing intelligent land use planning recommendations using heterogeneous temporal datasets in a computing environment. One or more positive land-use interventions, one or more negative land-use interventions, or a combination thereof may be recommended for a selected geographical region from heterogeneous chronological data.