511 results about "Decision support system" patented technology

The most preferred embodiment of the present invention is a computer-based decision support system that includes three main components: a database mining engine (DME); an advertising optimization mechanism; and a customized user interface that provides access to the various features of the invention. The user interface, in conjunction with the DME, provides a unique and innovative way to store, retrieve and manipulate data from existing databases containing media-related audience access data, which describe the access habits and preferences of the media audience. By using a database with a simplified storage and retrieval protocol, the data contained therein can be effectively manipulated in real time. This means that previously complex and lengthy information retrieval and analysis activities can be accomplished in very short periods of time (typically seconds instead of minutes or even hours). Further, by utilizing the advertising optimization mechanism of the present invention, businesses, networks, and advertising agencies can interactively create, score, rank and compare various proposed or actual advertising strategies in a simple and efficient manner. This allows the decision-makers to more effectively tailor their marketing efforts and successfully reach the desired target market while conserving scarce advertising capital. Finally, the user interface for the system provides access to both the DME and the optimization mechanism in a simple and straightforward manner, significantly reducing training time.

A decision support system for supply chain management is disclosed. In one embodiment, an organizational structure of an enterprise value chain is mock-constructed as a framework model and solutions are logically distributed through the organization in accordance with the model. Product management, demand management and inventory management are performed on an exception basis and these processes are implemented incrementally and organizationally such that enterprise activities may be tracked and monitored, by exception, at multiple levels of granularity. In a general aspect, the invention enables collaborative ordering, forecasting, inventory and replenishment management by implementing such systems through an enterprise organizational model.

Systems and methods to leverage and manage data and knowledge in a M2M or Internet of Things (IoT) network are provided. More particularly, a cognitive intelligence platform for an IoT network that provides autonomic decision support system at or near real-time and executes a dynamic runtime is provided. The hardware, software and communication design of the platform replicates the structural and operational model of the human nervous system to achieve cognitive intelligence through adaptation, collaborative learning, knowledge sharing and self-adjustment. Further, in one embodiment, the cognitive intelligence platform has three logical processing layers of increasing complexity, each of which has agents that use statistical and machine learning techniques and algorithms to resolve situational needs and update knowledge. Furthermore, each processing layer of the platform has a basic level of intelligence and additionally the hierarchy of layers aggregates the learning and intelligence at each layer.

A software-based, integrated member decision support system provides a method for corporations, insurance carriers, health maintenance organizations, physicians, physician groups, or other clients to efficiently provide medical, pharmaceutical, and health benefit advice and information for an enrolled population. The system contains one or more databases which include member profiles, clinical information and guidelines, pharmaceutical information and guidelines, health benefit information, and optional additional information. A caller establishes communication with the system, which directs the caller to an operator who provides the caller with medical, pharmaceutical, and / or health benefit advice based on an inquiry from the caller and the information stored on the system. The system may automatically alert the caller or the operator of important medical or pharmaceutical information. At the conclusion of the call, the system or the system with the operator's input, may update the caller's member profile, request written materials, generate referrals, order prescriptions, or generate reports.

The present invention relates to a distributed computer-based decision support technology for the healthcare industry. It also relates to a systematic knowledge diffusion technology for the healthcare industry. The tool and methodology packages and distributes computation and data processing software components in both centralized and federated fashions to process medical data in-situ and in real-time, applying the knowledge and best practices that can reflect the most recent advancement of medical sciences. This tool and methodology interacts with a healthcare organization's existing internal and external information sources, including those sources of its trading partners, such as practice management systems, health information systems, electronic medical records systems, lab systems, medical reference systems, and existing decision support systems. Due to this sharing of information and the ability to construct longitudinal medical records that was previously not possible, the quality of decision support can be rapidly improved, benchmarked, and standardized across the industry.

A method of analysis including an intrinsically valid class of statistical methods for dealing with multivariate ordinal data. A decision support system that can (1) provide automated decision support in a transparent fashion (2) optionally be controlled by a decision maker, (3) provide for an evidence acquisition concept, including automatically increasing the content of an underlying database, and (4) provide a computationally efficient interactive distributed environment. The method is exemplified in the context of assisted diagnostic support.

A method, apparatus, and computer program product are provided to accommodate decision support and reference case management for diagnostic imaging. An apparatus may include a processor configured to receive a request for an image from a client device. The processor may be further configured to retrieve a source image corresponding to the requested image from a memory. The processor may additionally be configured to process the source image to generate a second image having a greater resolution than the source image. The processor may also be configured to provide the second image to the client device to facilitate viewing and manipulation of the second image at the client device. Corresponding methods and computer program products are also provided.

A system and method for using heterogeneous data from multiple healthcare information sources in a medical decision support system is disclosed. Each healthcare information system stores medical data using a different local schema. The medical decision support system provides responses to user queries. A query is received from a user that is generated in a standardized global schema. The query includes information from medical ontologies. Database queries are generated from the user queries that use the medical ontologies to generate constraints in the queries. The medical ontologies are also used to infer database queries. The generated query is translated into multiple queries for the multiple healthcare systems wherein each query is in the local schema of the healthcare information system that is being queried. Each database query is transmitted to one of the healthcare information systems based on the local schema of the particular query. Data is collected from each of the queried healthcare information system and analyzed. A query response is formulated for the user

The present invention is a diagnosis support system providing automated guidance to a user by automated retrieval of similar disease images and user feedback. High resolution standardized labeled and unlabeled, annotated and non-annotated images of diseased tissue in a database are clustered, preferably with expert feedback. An image retrieval application automatically computes image signatures for a query image and a representative image from each cluster, by segmenting the images into regions and extracting image features in the regions to produce feature vectors, and then comparing the feature vectors using a similarity measure. Preferably the features of the image signatures are extended beyond shape, color and texture of regions, by features specific to the disease. Optionally, the most discriminative features are used in creating the image signatures. A list of the most similar images is returned in response to a query. Keyword query is also supported.

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.

Systems and methods are provided for processing a medical image to automatically identify the anatomy and view (or pose) from the medical image and automatically assess the diagnostic quality of the medical image. In one aspect a method for automated decision support for medical imaging includes obtaining image data, extracting feature data from the image data, and automatically performing anatomy identification, view identification and / or determining a diagnostic quality of the image data, using the extracted feature data.

CAD (computer-aided diagnosis) systems and applications for cardiac imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and / or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated assessment of regional myocardial function through wall motion analysis, automated diagnosis of heart diseases and conditions such as cardiomyopathy, coronary artery disease and other heart-related medical conditions, and other automated decision support functions. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and / or expert interpretations of such data to enable the CAD systems to “learn” to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.

A decision support system and method, which receives user inputs comprising: at least one user criterion, and at least one user input tuning parameter representing user tradeoff preferences for producing an output; and selectively produces an output of tagged data from a clustered database in dependence on the at least one user criterion, the at least one user input tuning parameter, and a distance function; receives at least one reference-user input parameter representing the at least one reference-user's analysis of the tagged data and the corresponding user inputs, to adapt the distance function in accordance with the reference-user inputs as a feedback signal; and clusters the database in dependence on at least the distance function, wherein the reference-user acts to optimize the distance function based on the user inputs and the output, and on at least one reference-user inference.

The present invention is a web-based transportation decision support system and geographic information system (GIS) application that leverages intelligent transportation system (ITS) information available from federal, state, local, and commercial transportation sources. The invention provides users with detailed road and rail information about routes and infrastructure characteristics, as well as real-time information from cameras, speed sensors, construction and accident reporting systems, and GIS based weather. Additionally, the invention provides users with the immediate ability to track and report surface shipments on an extremely accurate spatial data background.

Systems and methods are provided for processing a medical image to automatically identify the anatomy and view (or pose) from the medical image and automatically assess the diagnostic quality of the medical image. In one aspect a method for automated decision support for medical imaging includes obtaining image data, extracting feature data from the image data, and automatically performing anatomy identification, view identification and / or determining a diagnostic quality of the image data, using the extracted feature data.

An integrated risk management tool includes a persistent object database to store information about actors (individuals and / or groups), physical surroundings, historical events and other information. The risk management tool also includes a decision support system that uses data objects from the database and advanced decision theory techniques, such as Bayesian Networks, to infer the relative risk of an undesirable event. As part of the relative risk calculation, the tool uses a simulation and gaming environment in which artificially intelligent actors interact with the environment to determine susceptibility to the undesired event. Preferred embodiments of the tool also include an open “plug-in” architecture that allows the tool to interface with existing consequence calculators. The tool also provides facilities for presenting data in a user-friendly manner as well as report generation facilities.

A hazard information coordination system is provided with intelligent routing to enhance the distribution of information from multiple information sources to a plurality of destinations. Routing is performed based on data values and associated intelligence that determines what data is relevant to which users. User preferences, geographical location, local environment, current activities, and planned activities help a decision support system determine what data is relevant for each user. Thus, decision support systems are preferably provided with situational awareness, context awareness, and forecasting capabilities.

An exercise machine support system for providing increased versatility including inclination or declination of an exercise surface, a reduction in the overall length and width of the exercise machine, and an enhanced user interface which reduces the risk of injury. The exercise machine support system generally includes a cantilevered exercise machine which is adapted to have a variable angle of incline or decline with respect to a horizontal ground surface. The exercise machine will generally include a base and a support which extends between the base and the exercise machine. The upper end of the support is connected to the exercise machine by a first pivot such that the exercise machine pivots about the support. An adjustment device may be utilized to pivot the exercise machine and thus adjust its angle of incline. Various types of adjustment devices are disclosed, including an actuator, ratchet-and-pawl, gears, and cam.

Aspects of the present invention include improvements to a management decision support system. Before improvement, the system includes a computer system having memory and resources, a retail demand forecasting program applying one or more forecasting approaches, running on the computer system and utilizing the output, said analysis programs generating at least one of (a) order of goods from a supplier-related data, (b) allocation of the goods to be shipped by the supplier-related data, or (c) distribution of goods to selling locations-related data. The improvements, according to one aspect of the invention, include a causal calendar utilized by the forecasting program to generate the output, the calendar including certain attributes for a plurality of events, and an analysis program to generate open to buy reports. Other aspects of the present invention are described in the specification, drawing and claims.

A method for structuring decision-supporting system based on databank in telecommunication industry includes setting up databank model in according with character of telecommunication service, carrying out unified analysis on data of source service unit, carrying out extraction and conversion-loading on data of source unit, carrying out collection on data in databank at different levels, presenting analysis result through various access modes and setting various flowing-controls.

A method for cyber attack risk assessment, the method comprising operating at least one hardware processor for: collecting global cyber attack data from a networked resource; collecting organizational profile data from a user, wherein the organizational profile data comprises: types of computerized defensive controls employed by the organization, a maturity of each of the computerized defensive controls, and organizational assets each pertaining to a business environment and each associated with at least one of the computerized defensive controls; and computing a cyber attack risk of the organization in real time, by continuously performing said collecting of global cyber attack data and comparing the global cyber attack data to the organizational profile data, to compute a cyber attack risk score for each of the organizational assets.

A decision support system called Mounties that is designed for managing applications and resources using rule-based constraints in scalable mission-critical clustering environments. Mounties consists of four active service components: (1) a repository of resource proxy objects for modeling and manipulating the cluster configuration; (2) an event notification mechanism for monitoring and controlling interdependent and distributed resources; (3) a rule evaluation and decision processing mechanism; and (4) a global optimization service for providing decision making capabilities. The focus of this paper is on the design of the first three services that together connect and coordinate the distributed resources with the decision making component.

There is provided a system performing high-accuracy diagnostic decision support in consideration of the influence of a haplotype block and a genetic structure. Haplotype block inference means 13 infers the positions of haplotype blocks, and analyzes each of the haplotype blocks to infer a haplotype pattern of individuals with high accuracy. Genetic structure inference means 15 performs clustering the individuals on the basis of the haplotype pattern to divide a population into some subpopulations, and removes the influence of a genetic structure existing in the population. A genetic structure information database 16 and a clinical information database 11 are used to analyze association of clinical information with genetic information for providing high-accuracy diagnostic decision support knowledge. On the basis of the diagnostic decision support knowledge obtained by analyzing the association of clinical information with genetic information, risk calculation means 19 calculates a risk that a predetermined individual is affected by disease.

There is provided a system performing high-accuracy diagnostic decision support in consideration of the influence of a haplotype block and a genetic structure. Haplotype block inference means 13 infers the positions of haplotype blocks, and analyzes each of the haplotype blocks to infer a haplotype pattern of individuals with high accuracy. Genetic structure inference means 15 performs clustering the individuals on the basis of the haplotype pattern to divide a population into some subpopulations, and removes the influence of a genetic structure existing in the population. A genetic structure information database 16 and a clinical information database 11 are used to analyze association of clinical information with genetic information for providing high-accuracy diagnostic decision support knowledge. On the basis of the diagnostic decision support knowledge obtained by analyzing the association of clinical information with genetic information, risk calculation means 19 calculates a risk that a predetermined individual is affected by disease.

The present invention provides methods and systems or apparatuses, to analyze multiple molecular and clinical variables from an individual diagnosed with a psychiatric disorder, such as post-traumatic stress disorder (PTSD), in order to optimize medication selection for therapeutic response. Molecular co-variables include polymorphisms in genes including those involved in central control and mediation of the hypothalamic-pituitary axis (HPA) stress response, the density of methylation in regulatory regions of said polymorphic genes, polymorphisms in genes that encode cytochrome P450 enzymes responsible for drug metabolism, and drug-drug and drug-gene interactions. Clinical co-variables include but are not limited to the sex, age and ethnicity of that individual, medication history, family history, diagnostic codes, Pittsburgh insomnia rating score, and Charlson index score. The system makes a determination based on unstructured and structured data types derived from internal and external knowledge resources to determine psychotropic drug choice that best matches the molecular and clinical variation profile of an individual patient. The decision support system provides a therapeutic recommendation for a clinician based on the patient's variation profile.

The invention relates to a data structure comprising a plurality of biomedical parameters for providing a plurality of biomedical parameter values as input to a medical decision support system.

The present invention provides an on-line computer systems (herein defined to include software) that includes processes, technologies, facilities to manage comprehensively a “project.” Management defined as spanning the time from the idea or inception that inspired the project to the resulting products' or processes' ends-of-life. The system provides a central data depository for data and information generated or gleaned from others that bear on any and all aspects of a “project.” Common metrics, vocabularies, forms and other such data facilitates review, approval and management from all corporate functions. Hierarchical access to current stored information and condensed summaries allows timely decisions by upper corporate management. The present system facilitates analyses at detailed levels, or at overall levels, and includes comparisons to past projects and for collecting cumulative information that measure the overall impact of the projects past and present.

The invention belongs to the field of power network safety operation, and in particular relates to a distribution network failure isolation and quick power service restoration decision support system. The system is connected with a distribution automation system, comprises a real-time subsystem, a simulation subsystem, an accident inversion subsystem and a knowledge generating subsystem, and acquires power network operation monitoring data from the distribution automation system through a data interface, automatically tracks the real-time operating state of the power network, can quickly provide a power supply restoration scheme and intuitive simulation effect for a dispatcher to determine a proper restoration sequence after a failure happens, and provides accident simulation and accident inversion function; and the subsystems can be subjected to interface switching. The system is suitable for a distribution network which has a complicated network structure and of which the failure cannot be treated by automation equipment.