9957 results about "Data profiling" patented technology

Methods and apparatus are provided for iterative refinement of cohorts using visual exploration and data analytics. A cohort comprised of multiple data objects is defined by obtaining an initial cohort seeding; visualizing the initial cohort using a selected view to present a current cohort; reducing the current cohort using one or more visual filters; visualizing the current cohort using a selected view; expanding the current cohort using one or more selected analytics; and determining whether the current cohort should be further modified using one or more of additional reductions and additional expansions. Cohorts can be passed between views and analytics via drag-and-drop interactions as an analysis unfolds.

The present invention provides systems and methods for obtaining information from a networked system utilizing a distributed web crawler. The distributed nature of clients of a server is leveraged to provide fast and accurate web crawling data. Information gathered by a server's web crawler is compared to data retrieved by clients of the server to update the crawler's data. In one instance of the present invention, data comparison is achieved by utilizing information disseminated via a search engine results page. In another instance of the present invention, data validation is accomplished by client dictionaries, emanating from a server, that summarize web crawler data. The present invention also facilitates data analysis by providing a means to resist spoofing of a web crawler to increase data accuracy.

A system and method is implemented with use of a mobile communication device and at least one sensor configured to sense a parameter associated with a user's physiology. One or more parameters associated with the user's physiology are sensed, the sensed one or more parameters defining physiological data associated with the user. The physiological data is analyzed relative to training regimen data, the training regimen data comprising one or both of range limits and durations associated with an exercise regimen. The physiological data is transferred to the mobile communication device, and the mobile communication device provides the physiological data in a form suitable for integration into an avatar representative of the user.

The present invention is directed generally to providing systems and methods for data analysis. More specifically, embodiments may provide system(s) and method(s) including dynamic user modeling techniques to capture the relational and dynamic patterns of information content and/or users' or entities' interests. Various embodiments may include system(s) and method(s) that are based on, for example, the past history of content semantics, temporal changes, and/or user community relationship. Various embodiments may include modeling and/or analysis of the dynamic nature of an item of interest's value to a user(s)/entity(ies) over time. The dynamic factors may be consider in any manner, such as, individually or combined, sequentially or simultaneously, etc. Further, some embodiments may include, for example, system(s) and method(s) relating to analyzing data to capture user/entity interests and/or characteristics, consider content semantics and evolutionary information, and/or using community relationships of users/entities to thereby analyze information and provide dynamic conclusion(s) (e.g., recommendation(s)).

A system and related method for identifying a trigger event to a patient health-related exacerbation. The system includes at least one sensor configured to collect data related to the patient health-related exacerbation, an analyzer configured to validate the collected data, a patient interface device configured to receive patient inputs to at least one question, and an identifier device configured to receive the patient inputs and collected data and identify the trigger event. The system may also include an expert system configured to receive the patient inputs and the validated collected data and identify a primary patient disease, and a reporting device configured to generate reports related to the identified primary patient disease, patient inputs, and sensed patient conditions.

Systems and methods for data analysis and trend prediction. Multiple networks are combined for analysis to improve the accuracy of the evaluation by broadening the type of criteria considered. Relevant features are extracted from a dataset and at least one network is formed representing various relationships identified among the items contained in the dataset according to heuristics. Statistical analyses are applied to the relationships and the results output to a user via one or more reports to permit a user to evaluate each of the items in the dataset relative to each other. The trend of the relationships may be predicted based on the results of statistical analysis applied to the features over successive discrete time periods.

A system and method for collecting and testing data at a patient point of care location via a first device, such as a sample cartridge adapted to engage a first device, such as a personal digital assistant (PDA) incorporating a wireless communication module to communicate collected data to a second device, such as a healthcare workers personal PDA located beyond a contamination radius about a patient. Each device can further include a registration device, such as a bar code reader, to collect additional information at a point of care and tag data, or data analysis information, with an associated patient code.

A system and method for analyzing and using vehicle historical data is provided. The system and method may include obtaining vehicle history data from a vehicle history data system, and analyzing various vehicle variables to determine final factors associated with such vehicle variables. The vehicle variables may be categorized based on the age of the vehicle, the amount of time that has occurred since some event, or other time period. The final factors can be combined to score particular vehicles. Vehicle history scores can be used to evaluate risk associated with a particular vehicle, including use in underwriting and rating insurance policies, vehicle financing, or vehicle warranties.

A server arrangement for managing observation data of wireless devices, including data input logic for obtaining observation data from wireless devices, the obtained data including behavioral and contextual raw data relative to the wireless devices, data mining logic for establishing a number of derived data elements, on the basis of processing and analyzing the obtained observation and optional supplementary data, the processing and analyzing incorporating aggregation procedures. At least one derived data element includes usage metrics with contextual dimension relative to applications or other features of wireless devices and users, data storage for storing the obtained data and the number of derived information elements, and a data distribution logic providing derived data. The distribution logic may serve a data query constructed by an external entity through provision of derived information from derived data elements according to the query parameters. A corresponding method for execution by the server arrangement is presented.

A method and system for performing data analysis where multiple, categorical dimensions and statistical measures are used. The method includes preparing multi-dimensional data into nodes and arranging them logically in the form of a partial-order database. The database may then be traversed by a data-mining tool, or queried in an OLAP manner. Queries are answered through a process of associative partial-order search, which includes optional support for “children-of” requests, and optional support for fuzzy pattern-matching. By aggregating measures on-the-fly, this method is able to preform well without requiring a large number of summary nodes, when taken as a percentage of the total node count.

A system and method of making unstructured data available to structured data analysis tools. The system includes middleware software that can be used in combination with structured data tools to perform analysis on both structured and unstructured data. Data can be read from a wide variety of unstructured sources. The data may then be transformed with commercial data transformation products that may, for example, extract individual pieces of data and determine relationships between the extracted data. The transformed data and relationships may then be passed through an extraction/transform/load (ETL) layer and placed in a structured schema. The structured schema may then be made available to commercial or proprietary structured data analysis tools.

A system improves the design of artificial implant components for use in joint replacement surgeries. The system includes an anthropometric static image data analyzer, an implant model data generator, a kinematic model simulator, and a dynamic response data analyzer. The implant model data generator may also use image data of a joint in motion for modification of the implant model data used in the kinematic simulation. Dynamic response data generated by the kinematic model simulation is analyzed by the dynamic response data analyzer to generate differential data that may be used to further refine the implant model data.

Nonlinear generalized dynamic regression analysis system and method of the present invention preferably uses all available data at all time points and their measured time relationship to each other to predict responses of a single output variable or multiple output variables simultaneously. The present invention, in one aspect, is a system and method for predicting whether an intervention administered to a patient changes the physiological, pharmacological, pathophysiological, or pathopsychological state of the patient with respect to a specific medical condition. The present invention uses the theory of martingales to derive the probabilistic properties for statistical evaluations. The approach uniquely models information in the following domains: (1) analysis of clinical trials and medical records including efficacy, safety, and diagnostic patterns in humans and animals, (2) analysis and prediction of medical treatment cost-effectiveness, (3) the analysis of financial data, (4) the prediction of protein structure, (5) analysis of time dependent physiological, psychological, and pharmacological data, and any other field where ensembles of sampled stochastic processes or their generalizations are accessible. A quantitative medical condition evaluation or medical score provides a statistical determination of the existence or onset of a medical condition.

Aspects of the present invention include a method of dynamically routing requests within multiple cloud computing networks. The method includes receiving a request for an application from a user device, forwarding the request to an edge server within a content delivery network (CDN), and analyzing the request to gather metrics about responsiveness provided by the multiple cloud computing networks running the application. The method further includes analyzing historical data for the multiple cloud computing networks regarding performance of the application, based on the performance metrics and the historical data, determining an optimal cloud computing network within the multiple cloud computing networks to route the request, routing the request to the optimal cloud computing network, and returning the response from the optimal cloud computing network to the user device.

A method and system allowing a user to interrogate external financial data quickly and efficiently and to drill up or drill down and across multiple graphical displays (“maps”) of information. Maps offer multiple dimensional filtration functionality enabling a comparison between different investment strategies. External financial data is received and calculations can be performed on the external financial data to generate one or more indicators. Internal financial data is calculated from one or more of the external financial data and the indicators. Filters are applied to the external and internal financial data, and the indicators. The filtered data is used to generate maps of certain data usually plotted against external and internal financial data or indicators. Icons are generated adding another dimension to the map without adding an additional axis of data. Further “depth” to a map can be added by generating a sub-map or a historical movement map.

An apparatus, system, and method are provided for modeling and analyzing a plurality of computing workloads. The apparatus, system, and method include a data collection module for gathering performance data associated with operation of the computer system. A modeling module executes a plurality of models in parallel, in series, or according to a hierarchical relationship. A data analysis module presents analysis data compiled from the modeling module to a user, typically in the form of a graph. And finally, a framework manages the data collection module, the modeling module, and the data analysis module according to a predefined data and model flow.

Central nervous system, autonomic nervous system, and effector data is measured and analyzed to determine the effectiveness of marketing and entertainment stimuli. A data collection mechanism including multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data. The response data is enhanced using intra-modality response synthesis and/or a cross-modality response synthesis.

The present invention relates to a methodology for the conversion of unstructured, free text data (contained within medical reports) into standardized, structured data, and also relates to a decision support feature for use in diagnosis and treatment options.

A sample analysis and medical data acquisition system for patient management includes a first user interface (UI) display module for displaying a medical chart page that includes selectable items associated with patient management. The first UI display module displays a set of medical delivery systems associated with a selectable medical delivery selection item, from which a medical delivery system is chosen. The system includes a second UI display module, in communication with the first UI display module, for displaying parameter fields for entry of operation data associated with the chosen medical delivery system. Medical data is captured from a patient by an analyzer configured to perform analysis of samples from the patient. The medical data is analyzed in accordance with entered operation data. The system includes an analysis display module, in communication with at least the first UI display module, for displaying sample analysis results.