Abstract: A method of evaluating managed care organizations (MCOs) includes acquiring medical data associated with patients' healthcare encounters with the MCOs, calculating a health risk score of a subpopulation using patient characteristic data included in the medical data, providing encounter data included in the medical data and the health risk score as input to analytic processes that track services provided by the MCOs, and generating a risk-adjusted performance metric of the MCOs by the analytic processes. The risk-adjusted performance metrics relate to categories of concern. The method further includes generating a standardized score for each of the risk-adjusted performance metrics based on a comparison of the subpopulation with an entire population, assigning a weight to each of the standardized scores based on an importance level of each category of concern, and generating a final score corresponding to a performance category for each of the MCOs based on the standardized scores.

Abstract: A computer system configured to determine healthcare accessibility in a geographic region includes a memory storing a computer program, and a processor configured to execute the computer program. The computer program is configured to determine an expected level of care necessary for each member in the geographic region relating to a medical service type using member demographic data, aggregate the expected level of care necessary for each member to determine a total level of demand of the medical service type, and construct a ball tree representation indicating the healthcare accessibility for the medical service type on a display in real-time.

Abstract: A computer system configured to improve health outcomes and reduce medical service costs includes a memory storing a computer program and a processor that executes the computer program. The computer program receives a medical inquiry, extracts a keyword using natural language processing (NLP), selects a category of concern indicated by the medical inquiry from a library using the keyword, determines leading factors contributing to the category of concern based on a statistical model analysis, selects analytic modules from a library that receive at least one of the leading factors as an input parameter or produce at least one of the leading factors as an output parameter, and generates a recommendation including a listing of the selected analytic modules and/or a constructed workflow including at least two of the selected analytic modules chained together via respective input parameters and output parameters of the at least two selected analytic modules.

Abstract: A system and method for automating analytic processes to improve health outcomes and manage healthcare costs. Data associated with healthcare encounters with managed care organizations (MCOs) is acquired. Findings, predictions, and recommendations for tracking services provided by the MCOs are identified with analytic flows that are based on the data. Relations between the services provided by the MCOs and the healthcare encounters are identified. Utilization statistics are extracted from the data with the analytic processes. Information from the utilization statistics relevant to the healthcare encounters is output.

Abstract: The present disclosure provides for categorization of lists of words. The method comprises querying DBpedia to find the resources related to the given list of words. Once the resources are found, the corresponding media Wikipedia categories can be retrieved, as well as their ancestors, generating a graph of categories. A number of graph analysis algorithms can then be applied to the graph, each returning a selected category. For each algorithm a classifier is trained to decide whether the output of the algorithm is indeed the “best” category. An ensemble weighted majority voting can then be used to select the best category based on votes cast by each classifier. The disclosure demonstrates a more accurate selection of the best category and can include an ensemble majority rated voting algorithm comprising all voting members initially casting one vote; i.e., highest frequency, most frequently occurring word, least common ancestor and centrality measures.

Abstract: The present disclosure provides for categorization of lists of words. The method comprises querying DBpedia to find the resources related to the given list of words. Once the resources are found, the corresponding media Wikipedia categories can be retrieved, as well as their ancestors, generating a graph of categories. A number of graph analysis algorithms can then be applied to the graph, each returning a selected category. For each algorithm a classifier is trained to decide whether the output of the algorithm is indeed the “best” category. An ensemble weighted majority voting can then be used to select the best category based on votes cast by each classifier. The disclosure demonstrates a more accurate selection of the best category and can include an ensemble majority rated voting algorithm comprising all voting members initially casting one vote; i.e., highest frequency, most frequently occurring word, least common ancestor and centrality measures.

Abstract: Systems and methods identify a current location of a user based on a known location of an electronic device including kiosk, beacon, or location-aware camera when the user interacts with the electronic device. The systems and methods automatically create a user status data file based on the known location. The user status data file contains data identifying that the user is currently at the known location and other data captured about the event or venue at that location. The systems and methods automatically upload the user status data file to a personal storage account which can then be used to post to a social networking web site associated with the user as an activity post associated with the user.

Abstract: A method and system automatically obtain user page data from at least one social networking site, using at least one computerized device and automatically monitor the social networking site using the computerized device to detect an event. Upon the detection of an event, the method and system automatically identify a variable information document from a repository based on the topical content of the event using the computerized device. The method and system automatically select data from the user page data that matches the topical content of the event using the computerized device; automatically generate a variable data print instance by combining the images and text from the user page with the variable information document using the computerized device; and automatically output the variable data print instance to a user of the social networking site using the computerized device.

Abstract: A print server, a mobile computing device, a method of printing, and a system for printing using a mobile computing device. The print server includes a submission processor, an orchestration processor, and a positioning processor. The print server is configured to track the global position of a mobile computing device and determine a print location and/or print time based upon the global position of the mobile computing device. The method involves tracking the global position of the mobile computing device and determining the print location and/or print time based upon the global position of the mobile computing device.

Abstract: In accordance with one aspect of the present exemplary embodiment, a system determines a solution based on received data. An intake component receives an incomplete data set from one or more sources. A recommendation system transforms the incomplete data set into a semantic data set via latent semantic indexing, classifies the semantic data set into an existing cluster and provides one or more solutions of the existing cluster as one or more recommendations.

Abstract: A method and system provides one or more product type descriptions, and constructs a map between the sub-conditions of the product type descriptions and constructs in a Web Ontological Language (OWL). The method converts the product type description rules into new OWL classes by creating a new OWL class for each corresponding rule; adding the new OWL class to the OWL ontology; for each condition of the corresponding rule, extracting sub-conditions; for each the sub-condition extracted; creating new constructs for the new OWL class using the map; and adding new class restrictions to the new OWL class, wherein each of the new class restrictions relates to a corresponding condition of the corresponding rule.

Abstract: Systems and methods maintain at least one point of interest data file within a computer-readable storage medium and automatically identify a current user location of a user based on a geographic positioning feature of a portable electronic device that is maintained within a first predetermined distance from the user. The systems and methods automatically compare the current user location with the point of interest data file to identify whether the user is located within a second predetermined distance of a point of interest maintained within the point of interest data file. If the user is within the second predetermined distance of a point of interest, the systems and methods automatically create a user status data file. The user status data comprises data identifying that the user is currently at the point of interest.

Abstract: Systems and methods identify a current location of a user based on a known location of an electronic device including kiosk, beacon, or location-aware camera when the user interacts with the electronic device. The systems and methods automatically create a user status data file based on the known location. The user status data file contains data identifying that the user is currently at the known location and other data captured about the event or venue at that location. The systems and methods automatically upload the user status data file to a personal storage account which can then be used to post to a social networking web site associated with the user as an activity post associated with the user.

Abstract: The present lipid-based wax compositions commonly include a polyol fatty acid ester component (made up of partial and/or completely esterified polyols). Generally, at least a portion of the polyol fatty acid ester has been subjected to a transesterification reaction. Lipid-based wax compositions having a melting point of about 48° C. to about 75° C. can be particularly advantageous for use in forming candles. The wax may contain other components such as mineral wax, plant wax, insect wax, and/or other components. The polyol fatty acid ester component can include triacylglycerols such as those derived from plant oils (soybean oil, palm oil, etc.). The polyol ester component may be characterized based on one or more of its physical characteristics, such as SFI-40, SFI-10, typical crystal structure, IV, melting curve, and/or other properties.

Abstract: In accordance with one aspect of the present exemplary embodiment, a system determines a solution based on received data. An intake component receives an incomplete data set from one or more sources. A recommendation system transforms the incomplete data set into a semantic data set via latent semantic indexing, classifies the semantic data set into an existing cluster and provides one or more solutions of the existing cluster as one or more recommendations.

Abstract: A method provides a knowledgebase having a set of existing print product classes into which print product descriptions are classified. The method receives the new print product class from a user and maps the representation of new print product class conditions to be semantically consistent with the representation of existing class conditions. The method evaluates the new print product class to produce user feedback. The user feedback is output to the user. The new print product class is added to the knowledgebase only if the new print product class is valid and free of errors and semantically consistent with the definitions of already existing print product classes.

Abstract: In accordance with one aspect of the present exemplary embodiment, a system determines a solution based on received data. An intake component receives an incomplete data set from one or more sources. A recommendation system transforms the incomplete data set into a semantic data set via latent semantic indexing, classifies the semantic data set into an existing cluster and provides one or more solutions of the existing cluster as one or more recommendations.

Abstract: The present lipid-based wax compositions commonly include a polyol fatty acid ester component (made up of partial and/or completely esterified polyols). Generally, at least a portion of the polyol fatty acid ester has been subjected to a transesterification reaction. Lipid-based wax compositions having a melting point of about 48° C. to about 75° C. can be particularly advantageous for use in forming candles. The wax may contain other components such as mineral wax, plant wax, insect wax, and/or other components. The polyol fatty acid ester component can include triacylglycerols such as those derived from plant oils (soybean oil, palm oil, etc.). The polyol ester component may be characterized based on one or more of its physical characteristics, such as SFI-40, SFI-10, typical crystal structure, IV, melting curve, and/or other properties.

Abstract: The present lipid-based wax compositions commonly include a polyol fatty acid ester component (made up of partial and/or completely esterified polyols). Generally, at least a portion of the polyol fatty acid ester has been subjected to a transesterification reaction. Lipid-based wax compositions having a melting point of about 48° C. to about 75° C. can be particularly advantageous for use in forming candles. The wax may contain other components such as mineral wax, plant wax, insect wax, and/or other components. The polyol fatty acid ester component can include triacylglycerols such as those derived from plant oils (soybean oil, palm oil, etc.). The polyol ester component may be characterized based on one or more of its physical characteristics, such as SFI-40, SFI-10, typical crystal structure, IV, melting curve, and/or other properties.

Abstract: A system and method of identifying and storing memory error locations is disclosed. In one form, a method of using a memory is disclosed. The method can include detecting a memory error during execution of a run time environment within an information handling system, and determining if the memory error is a correctable memory error. The method can also include identifying a first memory location within a first memory device causing the memory error, and storing a first reference to the first memory location within a persistent memory. The method can further include disabling use of the first memory location during use of the run time environment.