Abstract: A method of predicting a healthcare event includes: receiving via an input device, classifying personal information for each of a plurality of persons; collecting measurements of at least one health indicator during a predefined learning period; creating a personal physiological pattern profile, based on the collected data; associating each of the plurality of persons to a physiological cluster based on each person's personal physiological pattern profile and based on the classifying personal information of each of the plurality of persons; creating, for each physiological cluster, a health indicator deviation pattern for the healthcare event; continuously monitoring values of the health indicator of the person; and determining an occurrence probability of the healthcare event when the monitored indicators deviate from the personal physiological pattern profile. A system for predicting a healthcare event is also disclosed.

Abstract: A method of predicting a healthcare event includes: receiving via an input device, classifying personal information for each of a plurality of persons; collecting measurements of at least one health indicator during a predefined learning period; creating a personal physiological pattern profile, based on the collected data; associating each of the plurality of persons to a physiological cluster based on each person's personal physiological pattern profile and based on the classifying personal information of each of the plurality of persons; creating, for each physiological cluster, a health indicator deviation pattern for the healthcare event; continuously monitoring values of the health indicator of the person; and determining an occurrence probability of the healthcare event when the monitored indicators deviate from the personal physiological pattern profile. A system for predicting a healthcare event is also disclosed.

Abstract: A respiration monitoring system includes a thermoelectric generator that may be mounted within a mask enclosure or free-standing, covering all or part of the nose and/or mouth of a subject. A first temperature sensor is attached to the thermoelectric generator for measuring the subject's breath. A power controller develops a difference between a preset temperature and the subject's breath temperature that is then inserted into a feedback error signal and then into a power controller which regulates the power to the thermoelectric generator to maintain a preset temperature.

Abstract: A document mining method includes automatically parsing each sentence of a corpus of documents into constituents. If some of the constituents correspond to entities from a list of recognized entity types, a relation between those entities, the relation including the entities and a link between them, is automatically identified. If the relation is identified in a predetermined number of sentences of the corpus, a relation extraction rule is automatically created. The relation extraction rule is applicable to a document to enable automatic retrieval of information that corresponds to the relation from that document.

Abstract: A system for monitoring the breathing status of a patient comprises a first temperature sensor and a second temperature sensor. The first temperature sensor is arranged to measure the temperature of the breathing gas of a patient. The second temperature sensor is arranged to measure an ambient temperature of the patient's surroundings. A controller is included, wherein the controller is programmed to determine a plurality of breathing-gas temperatures over time by way of a first signal received from the first temperature sensor and at least one ambient temperature using a second signal received from the second temperature sensor. The controller is programmed to analyze the plurality of breathing-gas temperatures and the at least one ambient temperature to determine a breathing status of the patient. The present invention may be embodied as a method for monitoring the breathing status of a patient.

Abstract: A system and method for alerting analysts to the presence of risk indicative information in a source report such as an SEC Edgar filing are described. An alert containing the risk indicative text may be e-mailed to an analyst and a link may be provided so that the analyst may easily access and view the complete report and additional identified risk indicative information. Additionally, the alerts and reports may be organized according to a hierarchical taxonomy of risk and/or corporate categories.

Abstract: The present invention is directed to a method and system for correlating time-series data with events derived from text mining. The system is configured to receive a time period and a parameter concerning an entity, retrieve an event which is related to the entity and occurred within the time period from events which are previously extracted automatically from unstructured text, and display an indication of the event superimposed on a display representing the time series of the parameter for the time period.

Abstract: A system for extracting information from text, the system including parsing functionality operative to parse a text using a grammar, the parsing functionality including named entity recognition functionality operative to recognize named entities and recognition probabilities associated therewith and relationship extraction functionality operative to utilize the named entities and the probabilities to determine relationships between the named entities, and storage functionality operative to store outputs of the parsing functionality in a database.

Abstract: A system for monitoring the breathing status of a patient comprises a first temperature sensor and a second temperature sensor. The first temperature sensor is arranged to measure the temperature of the breathing gas of a patient. The second temperature sensor is arranged to measure an ambient temperature of the patient's surroundings. A controller is included, wherein the controller is programmed to determine a plurality of breathing-gas temperatures over time by way of a first signal received from the first temperature sensor and at least one ambient temperature using a second signal received from the second temperature sensor. The controller is programmed to analyze the plurality of breathing-gas temperatures and the at least one ambient temperature to determine a breathing status of the patient. The present invention may be embodied as a method for monitoring the breathing status of a patient.

Abstract: The present invention is directed to a method and system for correlating time-series data with events derived from text mining. The system is configured to receive a time period and a parameter concerning an entity, retrieve an event which is related to the entity and occurred within the time period from events which are previously extracted automatically from unstructured text, and display an indication of the event superimposed on a display representing the time series of the parameter for the time period.

Abstract: The present invention is directed to a method and system for correlating time-series data with events derived from text mining. The system is configured to receive a time period and a parameter concerning an entity, retrieve an event which is related to the entity and occurred within the time period from events which are previously extracted automatically from unstructured text, and display an indication of the event superimposed on a display representing the time series of the parameter for the time period.

Abstract: A computer-implemented method for information extraction includes defining a stochastic context free grammar (SCFG) including symbols and rules applicable to the symbols, the symbols including at least one output concept. The SCFG is trained on a tagged training corpus so as to determine probabilities of the rules and of one or more of the symbols. A document is parsed using the rules and symbols responsively to the probabilities so as to extract occurrences of the at least one output concept from the document.

Abstract: The present invention is directed to a method and system for correlating time-series data with events derived from text mining. The system is configured to receive a time period and a parameter concerning an entity, retrieve an event which is related to the entity and occurred within the time period from events which are previously extracted automatically from unstructured text, and display an indication of the event superimposed on a display representing the time series of the parameter for the time period.

Abstract: A method for visualizing variations in a corpus of information. The corpus includes a plurality of information entries, which are divided into a plurality of sub-groups according to a differentiating parameter of the entries. For each of the entries, characteristics of information contained therein are extracted and pairs of different characteristics that appear together in at least one of the entries are found. An occurrence value is determined for each of the pairs of characteristics in each sub-group in which both of the characteristics appear. The occurrence values of at least some of the pairs of characteristics for at least two of the sub-groups are compared, and an indication of the comparative occurrence values of the pairs is provided.

Abstract: A method for mining in a database including documents, the documents including text. The method includes providing a taxonomy of taxonomy terms, and mining the documents responsive to the taxonomy to discover a relationship between a set of one or more selected words and at least one of the taxonomy terms. The method also includes analyzing occurrences of the relationship over a plurality of the documents to extract information relating to the at least one taxonomy term.