Reuters Limited

Clearforest Corp.

Standard & Poor's Financial Services LLC

Owlytics Healthcare Ltd

Ronen Feldman

David Landau

Hadar Shemtov

Yehonatan Aumann

Yaron Ben-Yehuda

Orly Lipshatz

Yonatan Aumann

Yaron Recher

Jonathan Schler

Orly Lipshtat

Peter Rigby

Gill Zaphrir

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.

System and method of predicting a healthcare event

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.

System and method for searching and identifying potential financial risks disclosed within a document

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.

Displaying time-series data and correlated events derived from text mining

Method and system for displaying time-series data and correlated events derived from text mining

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.

Determining trends using text mining

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.

Term-level text with mining with taxonomies

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Petach Tikva, Israel

Ronen Feldman