Patent application number | Description | Published |
20090240637 | RESILIENT CLASSIFIER FOR RULE-BASED SYSTEM - A resilient classifier for using with a rule-based system is provided. A system for classifying data for a rule-based system, may include: a system(s) for generating two training data sets, one data set is generated from input data while the second data set is generated from disturbed data; a system for merging the two training data sets; and a system for training a data classifier with the merged training data sets. As a result, the classification of data becomes more accurate, including when disturbed data is encountered. | 09-24-2009 |
20120041277 | SYSTEM AND METHOD FOR PREDICTING NEAR-TERM PATIENT TRAJECTORIES - A system and method for predicting near term measurements of a patient includes a stream processor configured to summarize raw measurements from patients into signatures and construct optimal prediction models based on previously obtained signatures. A similar patient tracker is configured to monitor similar patient information for a query patient. The similar patient information is determined based on a similarity between the query patient and signatures of other patients. A model analyzer is configured to employ retrofitted optimal prediction models from similar patients to predict near term measurements of the query patient. | 02-16-2012 |
20120041772 | SYSTEM AND METHOD FOR PREDICTING LONG-TERM PATIENT OUTCOME - A system and method for predicting patient prognosis includes a similarity module configured in program storage media to provide a similarity function for a data source and compute similarity scores for pairs of patients. An alignment module is configured to align a query patient to a best anchor timestamp of a similar patient or patients so that a comparison between the query patient and at least one similar patient is provided. A prediction module is configured to predict a long-term outcome measure of the query patient based on data from the at least one similar patient. | 02-16-2012 |
20120218102 | MANAGING EMERGENCY RESPONSE SERVICES USING MOBILE COMMUNICATION DEVICES - One or more embodiments manage emergency response services. An emergency event is determined to have occurred. A set of civilian responders currently available to respond to the emergency event is selected from a plurality of civilian responders in response to determining that the emergency event has occurred. Each civilian responder in the set of civilian responders is associated with at least one wireless communication device. The set of civilian responders is notified that the emergency event has occurred. A set of emergency event information associated with the emergency event is transmitted to at least one wireless communication device associated with each civilian responder in the set of civilian responders. | 08-30-2012 |
20140046889 | HYPOTHESIS-DRIVEN, REAL-TIME ANALYSIS OF PHYSIOLOGICAL DATA STREAMS USING TEXTUAL REPRESENTATIONS - A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system. | 02-13-2014 |
20140046890 | HYPOTHESIS-DRIVEN, REAL-TIME ANALYSIS OF PHYSIOLOGICAL DATA STREAMS USING TEXTUAL REPRESENTATIONS - A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system. | 02-13-2014 |
Patent application number | Description | Published |
20090265297 | DATA REDUCTION METHOD TO ADAPTIVELY SCALE DOWN BANDWIDTH AND COMPUTATION FOR CLASSIFICATION PROBLEMS - A method is provided for selecting features for classification that trades classification efficiency for computational resources. The method includes ranking a plurality of features of a training set according to how closely they are correlated to their corresponding classifications, receiving sensor data including a plurality of features, and selecting a subset of the features of the sensor data, according to the ranking of the features of the training data such that a computational resource cost of the subset is less than a predefined computational resource maximum and the degree of utility achieved by a classification of the subset of features by a selected classifier is optimized and exceeds a predefined utility minimum. | 10-22-2009 |
20090292729 | Method and Apparatus for Maintaining and Processing Provenance Data in Data Stream Processing System - Techniques are disclosed for maintaining and processing provenance data in such data stream processing systems. For example, a method for processing data associated with a data stream received by a data stream processing system, wherein the system comprises a plurality of processing elements, comprising the following steps. A portion of data associated with the data stream is maintained. The maintained data comprises inputs to each processing element that contributed to an output of each processing element. In response to an alert generated by one of the processing elements, a scheduler is triggered to determine when a pre-calculation of a prospective query related to the alert should be executed. In response to the scheduler, at least a portion of the maintained data is used to determine a set of data that contributed to the alert such that the alert-contributing set of data can be used to respond to the prospective query upon arrival thereof. | 11-26-2009 |
20090292818 | Method and Apparatus for Determining and Validating Provenance Data in Data Stream Processing System - Techniques are disclosed for determining and validating provenance data in such data stream processing systems. For example, a method for processing data associated with a data stream received by a data stream processing system, wherein the system comprises a plurality of processing elements, comprises the following steps. Input data elements and output data elements associated with at least one processing element of the plurality of processing elements are obtained. One or more intervals are computed for the processing element using data representing observations of associations between inputs elements and output elements of the processing element, wherein, for a given one of the intervals, one or more particular input elements contained within the given interval are determined to have contributed to a particular output element. In another method, intervals are specified, and then validated by comparing the specified intervals against intervals computed based on observations. | 11-26-2009 |
20090307006 | METHOD OF COLLABORATIVE EVALUATION INFRASTRUCTURE TO ASSESS THE QUALITY OF HEALTHCARE CLNICAL DECISION ACTORS - A voting system employing individual healthcare actors is described wherein votes representing the relation between target measurements and actual measurements are aggregated and used to determine treatment of patients. | 12-10-2009 |