Abstract: The current document is directed to methods and systems for estimating values that could be derived from a large data set, were it available, from values computed from an available smaller data set. A specific example of the currently described methods and systems are methods and systems that estimate various medical-record-related statistics and values computed from hypothetical datasets. In order to extrapolate the desired statistics and computed values from the observed smaller data set, multiple models are employed by the currently disclosed methods and systems. These models can be employed sequentially to generate relatively fine-grained estimates over various multi-dimensional data-set volumes.

Abstract: The present document is directed to an automated experimentation platform that provides a visual integrated development environment (“IDE”) that allows a user to construct and execute various types of data-driven workflows. The automated experimentation platform includes back-end components that include API servers, a catalog, a cluster-management component, and execution-cluster nodes. Workflows are visually represents as directed acyclic graphs and texturally encoded. The workflows are transformed into jobs that are distributed for execution to the execution-cluster nodes.

Abstract: Security and distributed storage is described for systems using electronic profile information. Embodiments may be utilized for ID, data, and access analysis. Dynamic distributed redundant encryption may be used that may be based on user, device, location, context information, physical, or environmental characteristics. In one implementation, encrypted electronic profiles are stored on behalf of users by a profiling system, allowing user information within the electronic profiles to be accessed only by decryption of a portion of the electronic profile by the profiling system using distributed decryption codes.

Abstract: The current document is directed to methods and automated systems that assign individual medical codes selected from one or more medical codebooks to electronic medical records. In certain implementations, the currently disclosed automated systems generate multiple streams of medical terms or medical terms and phrases from an electronic medical record as well as multiple streams of medical terms or medical terms and phrases from individual medical codes contained within a medical codebook and then use stream-comparison functionality to select those individual medical codes of the medical codebook most likely to be relevant and related to the information encoded within the electronic medical record.

Abstract: The current document is directed to methods and systems for automated generation of evaluation and management medical codes (“E/M codes”). In one implementation, a series of processes are applied to a medical document in order to generate annotations and concepts, extract metadata, and, using the annotations and concepts, and, in certain cases, the extracted metadata, to generate a set of feature/feature-value pairs that parametrically represent the contents of the medical document. Models for E/M codes and E/M-code components are generated to contain sets of weights, each weight corresponding to a feature for which a feature-value is automatically generated from medical documents. These weights are used as multipliers, in certain implementations, of the feature values generated for a medical document. Multiplication of feature values by corresponding weights produces terms that are used to generate scores for each of various different E/M codes.

Abstract: The current document is directed to methods and systems for accessing, searching, analyzing, and visualizing electronically stored information, including electronic documents. These methods and systems construct graph-like representations of information searches that can be visualized and manipulated in three dimensions. The three-dimensional rendering of search results allows for very large numbers of search results to be visualized conveniently using a graphical user interface displayed on an electronic display device. Methods and systems provide for three-dimensional manipulation of graph-like renderings of search results, visualization-assisted searching, and a large number of research tools for discovering and storing various types of links, connections, and relationships between electronically stored information entities.

Abstract: The current document is directed to methods and systems for accessing, searching, analyzing, and visualizing electronically stored information, including electronic documents. These methods and systems construct graph-like representations of information searches that can be visualized and manipulated in three dimensions. The three-dimensional rendering of search results allows for very large numbers of search results to be visualized conveniently using a graphical user interface displayed on an electronic display device. Methods and systems provide for three-dimensional manipulation of graph-like renderings of search results, visualization-assisted searching, and a large number of research tools for discovering and storing various types of links, connections, and relationships between electronically stored information entities.

Abstract: Techniques are described for determining and using relevant information related to domains of interest. In at least some situations, the techniques include automatically analyzing documents, terms and other information related to a domain of interest in order to automatically determine information about relevant themes within the domain and/or about which documents have contents that are relevant to such themes. Such automatically determined information related to a domain may then be used in various ways, including to assist users in specifying themes of interest and/or in obtaining documents and/or document fragments with contents that are relevant to specified themes. In addition, information about how the automatically determined information is used by users may be tracked and used as feedback for learning improved determinations of relevant themes and relevant documents within the domain, such as by using automated machine learning techniques.

Abstract: This disclosure is directed to methods and automated documentation and medical-coding systems that combine predictions of clinical decision support or multiple medical-code assignments into a final medical-code assignment, such that the combination is different for different contexts. In certain implementations, each agent receives the same set of terms and phrases extracted from an electronic medical record (“EMR”). Based on the context of the EMR, each agent extracts medical codes from one or more medical codebooks, compares the terms and phrases to the medical codes, and assigns a code to the EMR based on a confidence score. The multiple code assignments are combined to generate a final medical-code assignment based on the confidence scores, context, and each agent's historical performance within the context. The automated system stores and outputs the final medical-code assignment.

Abstract: Techniques are described for determining and using information related to domains of interest, such as by automatically analyzing documents and other information related to a domain in order to automatically determine relationships between particular terms within the domain. Such automatically determined information may then be used to assist users in obtaining information from the domain that is of interest (e.g., documents with contents that are relevant to user-specified terms and/or to other terms that are determined to be sufficiently related to the user-specified terms). For example, recommendations may be automatically generated for a user by using information about specified preferences or other interests of the user with respect to one or more terms and identifying other particular terms that are sufficiently probable to be of interest to that user, such as based on a generated probabilistic representation of relationships between particular terms for the domain.

Abstract: Platforms for data aggregation, communication, rule evaluation, and combinations thereof are described. The platform may include three distinct functional layers; a core layer, an adaptive layer and an intelligence layer. Furthermore, the platform may include a data block, messaging block, rule block, or combinations thereof. Generally, the platform may facilitate data acquisition, storage, and manipulation between and among clients and data sources in a generic manner. That is, clients may communicate and make requests independent of a target system or database type. The platform may process the communications and requests in a manner suitable to the target system or database type. The platform may also evaluate rules received from the clients in a manner generic to the client application. Instances of the platform for a given application may be efficiently created using a template-based mechanism, for example for supporting a variety of end user applications in a flexible, scalable manner.

Abstract: Techniques are described for determining and using information related to domains of interest, such as by automatically analyzing documents and other information related to a domain in order to automatically determine relationships between particular terms within the domain. Such automatically determined information may then be used to assist users in obtaining information from the domain that is of interest (e.g., documents with contents that are relevant to user-specified terms and/or to other terms that are determined to be sufficiently related to the user-specified terms). For example, recommendations may be automatically generated for a user by using information about specified preferences or other interests of the user with respect to one or more terms and identifying other particular terms that are sufficiently probable to be of interest to that user, such as based on a generated probabilistic representation of relationships between particular terms for the domain.

Abstract: Embodiments of the present invention provide platforms for data aggregation, communication, rule evaluation, and combinations thereof. The platform may include three distinct functional layers; a core layer, an adaptive layer and an intelligence layer. Furthermore, the platform may include a data block, messaging block, rule block, or combinations thereof. Generally, the platform may facilitate data acquisition, storage, and manipulation between and among clients and data sources in a generic manner. That is, clients may communicate and make requests independent of a target system or database type. The platform may process the communications and requests in a manner suitable to the target system or database type. The platform may also evaluate rules received from the clients in a manner generic to the client application. Instances of the platform for a given application may be efficiently created using a template-based mechanism.

Abstract: Techniques are described for determining and using relevant information related to domains of interest. In at least some situations, the techniques include automatically analyzing documents, terms and other information related to a domain of interest in order to automatically determine information about relevant themes within the domain and/or about which documents have contents that are relevant to such themes. Such automatically determined information related to a domain may then be used in various ways, including to assist users in specifying themes of interest and/or in obtaining documents and/or document fragments with contents that are relevant to specified themes. In addition, information about how the automatically determined information is used by users may be tracked and used as feedback for learning improved determinations of relevant themes and relevant documents within the domain, such as by using automated machine learning techniques.

Abstract: Examples of the present invention include profiling systems that store, manage, and utilize profile information to take predictive or deterministic action. Embodiments of the invention allow the profiling system to be used as a trusted intermediary where the profile owning entity controls access to their profile information across their network of devices and services.

Abstract: Techniques are described for determining and using relevant information related to domains of interest. In at least some situations, the techniques include automatically analyzing documents, terms and other information related to a domain of interest in order to automatically determine information about relevant themes within the domain and/or about which documents have contents that are relevant to such themes. Such automatically determined information related to a domain may then be used in various ways, including to assist users in specifying themes of interest and/or in obtaining documents and/or document fragments with contents that are relevant to specified themes. In addition, information about how the automatically determined information is used by users may be tracked and used as feedback for learning improved determinations of relevant themes and relevant documents within the domain, such as by using automated machine learning techniques.