Abstract:
A memory unit stores medical information related to a patient's dangerous behavior and extracted in advance from judged medical record information which is medical record information identifying the dangerous behavior by being linked to an incident report about the patient's dangerous behavior. A relation evaluation unit acquires unjudged medical record information, to which the incident report is not linked, and evaluates a relation between the unjudged medical record information and a possible dangerous behavior of the patient corresponding to the unjudged medical record information on the basis of the medical information related to the dangerous behavior stored in the memory unit. A prediction unit predicts the patient's dangerous behavior corresponding to the unjudged medical record information according to an evaluation result of the relation evaluation unit. A data reporting unit reports a prediction result of the prediction unit.
Abstract:
A document classification system is provided. The document classification system analyzes digital document information which is collected to be submitted as evidence in a lawsuit and classifies the digital document information. The document classification system includes an extraction unit that extracts documents from the collected document information, a document display unit that displays an extracted document group, a classification code receiving unit that receives a classification code assigned to the displayed document group, a selection unit that classifies the extracted document group for each classification code, analyzes a keyword commonly appearing in the classified document group, and selects the keyword, a database that records the selected keyword, a search unit that searches for the keyword from the document information, a score calculation unit that calculates a score indicating connection between the classification code and the document, and an automatic classification unit that automatically assigns the classification code.
Abstract:
[Object] A data analysis system designed to be capable of checking the growth process of artificial intelligence is provided. [Solution] The data analysis system includes artificial intelligence implemented by execution of a control program by a controller wherein the artificial intelligence evaluates data and classifies the data on the basis of an evaluation result, while growing through a learning step; the artificial intelligence evaluates a plurality of pieces of evaluation data; and the controller finds distribution of the evaluation of the plurality of pieces of evaluation data at a plurality of time points, further creates report information based on the distribution, and outputs the report information.
Abstract:
A forensic system, method, and computer-readable medium that display a document group that includes a plurality of documents included in the digital information to a user, receive classification information assigned to a target document which is a document for determination of whether the document is related to a lawsuit by a user in the displayed document group, based on the determination of whether the document is related to the lawsuit by the user, update a score of each document corresponding to predetermined classification information based on a comparison result between a feature value of the target document of which the classification information is received and a feature value of each document in the document group, and control a display order of the documents in the document group to be displayed by the display unit based on the updated scores.
Abstract:
A digital information analysis system includes: a relevance information acquiring unit that acquires relevance information attached by a classifier to each of multiple pieces of digital information; a relevance score calculating unit that calculates a relevance score determined according to relevance between each of the multiple pieces of digital information and the predetermined specific matter; a ratio calculation unit that calculates a ratio of the number of pieces of relevance information, attached to the digital information included in the range, to the total number of pieces of digital information having the relevance scores included in each range; and a display unit.
Abstract:
A document classification system is provided. The document classification system analyzes digital document information which is collected to be submitted as evidence in a lawsuit and classifies the digital document information. The document classification system includes an extraction unit that extracts documents from the collected document information, a document display unit that displays an extracted document group, a classification code receiving unit that receives a classification code assigned to the displayed document group, a selection unit that classifies the extracted document group for each classification code, analyzes a keyword commonly appearing in the classified document group, and selects the keyword, a database that records the selected keyword, a search unit that searches for the keyword from the document information, a score calculation unit that calculates a score indicating connection between the classification code and the document, and an automatic classification unit that automatically assigns the classification code.
Abstract:
A digital information analysis system includes a target selection unit that selects target digital information, a combination storage unit that stores each of a plurality of word combinations related to a predetermined specific item, a search unit that searches whether the plurality of word combinations stored in the combination storage unit are included in the target digital information selected by the target selection unit, a relation determination unit that determines the relation of the target digital information to the predetermined specific item on the basis of a morphological analysis result when the plurality of word combinations stored in the combination storage unit are included in the target digital information, and a determination result setting unit that associates the determination result of the relation determination unit with the target digital information.
Abstract:
The present invention relates to data analysis for evaluating a plurality of pieces of object data; and the evaluation corresponds to the relation between each piece of object data and a specified case. An index that enables ranking of the plurality of pieces of object data is generated by the evaluation and the index changes based on an input entered by a user. A pattern is extracted that characterizes the reference data from the reference data according to the classification information assigned by the input. The index is determined by evaluating the relation between the object data and the specified case based on the extracted pattern and set to the object data. The plurality of pieces of object data are ranked according to the index and reported the user.
Abstract:
A document classification and inspection system obtains digital information recorded in plural computers or servers, extracts a document from document information configured by plural documents, included in the obtained digital information, calculates a score indicating the strength of connection between the document and a classification code for the extracted document in a time-series manner, detects a time-series score change from the calculated score, and inspects the degree of relevance between an inspection case and the extracted document from the detected time-series score change.
Abstract:
It is possible to reduce a review load of a reviewer. A document management system acquires digital information recorded in a plurality of computers or a server and analyzes the acquired digital information for relevance to a lawsuit. The document management system includes a thread classification unit that verifies supplementary information of each piece of document data included in the digital information and classifies the document data into threads based on the supplementary information, a similarity analysis unit that extracts elements included in the supplementary information of the classified document data for each thread and analyzes similarity between the threads based on the extracted elements, and an integration unit that integrates the threads based on the similarity.