Abstract:
A technique is disclosed for automatically prioritizing requests for service of systems. A service request is generated upon detection of an indicator of a potentially serviceable condition in the system. Based upon the service request, a knowledge base is consulted that may contain prioritization scores for particular indicators, conditions, systems, customers and so forth. Service recommendations are then prioritized based upon the information. Similar prioritization among service requests may also be made based upon the information. The prioritizations may be adjusted or new prioritizations may be made based upon other factors, such as downtime experienced or anticipated, customer need, contract provisions, and so forth.
Abstract:
A technique is described for performing domain-specific analysis, structuring, mapping and classification of data entities, such as text document, images, audio data, waveform data, and so forth. A domain definition is established that includes a plurality of classification axes and labels for each axis. Data entities are accessed that potentially have attributes of interest classifiable in accordance with the axes and labels. Pertinent entities are then identified based upon their attributes, and the entities are classified. The classification and the entities themselves, or portions thereof, may be stored in a knowledge base for further classification, search and reference. Complex combinations of classifications, including combinations by reference to data of different type are possible by virtue of the domain definition and rules or algorithms called on by the definition for one-to-many mapping of the entities to the axes and labels.
Abstract:
A technique for identifying, analyzing, structuring, mapping and classifying data entities is disclosed. A conceptual framework is established by a domain definition having an association list of attributes of interest. Data entities are accessed, analyzed, structured if appropriate, mapped and classified in accordance with the association list and attributes found in the entities, and in accordance with rules and algorithms for analyzing, recognizing and classifying the attributes. Various types of analysis may be performed following the classification. Searches and selection of the data entities may also be performed. Complex data entities may be processed, including text documents, image data, audio data, waveform data, and combinations of these.
Abstract:
A technique is disclosed for identifying medical data entities and for analyzing them for classification in accordance with a defined domain definition. The domain definition may be user-defined and may include a plurality of logical associations by which the data entities are classified. A one-to-many classification of the entities facilitates complex analysis of the data. The data entities may be analyzed to recognize relationships between them for rendering patient care, identifying health conditions in populations, and so forth.
Abstract:
A system and method for hybrid tracking in surgical navigation is disclosed. A plurality of tracking technologies is used in a medical procedure where a reconciler determines an active tracking technology. The reconciler determines the active tracking technology during the medical procedure. A switch may then activate one or more tracking technologies. The determination of which technology or technologies are to be activated may be based, for example, on metrics measured by each of the technologies, such as an accuracy measurement. In addition, a display may present representations based on at least data obtained by one or more of the tracking technologies. The switch may employ weighted switching to gradually switch the display of a first representation corresponding to a first tracking technology to the display of a second representation corresponding to a second tracking technology, where the first technology is deactivated and the second technology is activated.
Abstract:
A technique for identifying, analyzing, structuring, mapping and classifying data entities is disclosed. A conceptual framework is established by a domain definition having an association list of attributes of interest. Data entities are accessed, analyzed, structured if appropriate, mapped and classified in accordance with the association list and attributes found in the entities, and in accordance with rules and algorithms for analyzing, recognizing and classifying the attributes. Various types of analysis may be performed following the classification. Searches and selection of the data entities may also be performed. Complex data entities may be processed, including text documents, image data, audio data, waveform data, and combinations of these.
Abstract:
A technique is provided for detecting and responding to serviceable conditions in systems. Following detection of an indicator of a serviceable condition, a service request is generated and transmitted to a service provider. The requests results in consultation of a service knowledge base that contains information on the indicators, potential causes or conditions that could result in the indicators, and responses to the conditions. Responses may then be generated automatically for satisfying the service requests.
Abstract:
A technique is disclosed for servicing complex systems. Upon detection of a serviceable condition, a system snapshot is made and stored. The snapshot may include a range of data then available on the system, particularly hardware configuration data, such as components then installed, peripherals installed, their states, and so forth. The snapshot may include data available prior to the detection of an indicator, at the time of detection and following detection, facilitating evaluation of the condition and potential responses to it.
Abstract:
A technique is disclosed for analyzing data entities of interest, including text, image, waveform, audio, video and other types of data. The data entities are accessed and identified in accordance with a domain definition and attributes contained in the entities. The attributes may be user-defined, as may the domain definition. The entities are classified in a one-to-many classification according to the domain definition. User-viewable representations are generated that present analysis of the entities, such as identifying similarities and distinctions between them based upon their attributes and the domain definition.
Abstract:
A technique is disclosed for improving health care based upon genetic information. Genetic data, such as sequence data, hereditary data, and so forth, is accessed and relationships are identified with known health conditions and potential responses to the conditions. The compiled data is stored in a knowledge base for reference as conditions develop with individual patients.