Abstract: Apparatus and methods are provided herein for providing treatment plan in which a position of a heat source and a treatment order are optimized. An example treatment support apparatus includes a processor and a storage device connected to the processor. The storage device hold image information of tissue in a living body of a treatment target. The processor may extract a blood vessel structure of the inside of the living body from the image information, calculate positions of one or more heat sources for thermal treatment on a treatment scheduled region including at least a part of the extracted blood vessel structure on the basis of the extracted blood vessel structure, and output data for displaying an image including the calculated positions of the one or more heat sources.

Abstract: A treatment plan in which a position of a heat source and a treatment order are optimized is presented. A treatment support apparatus includes a processor, and a storage device connected to the processor, in which the storage device holds image information of tissue in a living body of a treatment target, and the processor extracts a blood vessel structure of the inside of the living body from the image information, calculates positions of one or more heat sources for thermal treatment on a treatment scheduled region including at least a part of the extracted blood vessel structure on the basis of the extracted blood vessel structure, and outputs data for displaying an image including the calculated positions of the one or more heat sources.

Abstract: The setting of a search condition is supported. Databases 130 and 140 store use frequency information about search conditions, co-occurrence frequency information between search conditions, relationship information unique to a particular field, use history information for each search condition, and simultaneous use history information. Based on a search condition that is already set, the database are referred to so as to calculate the recommendation level of other search conditions, and search conditions that have high recommendation levels and that are likely to be used simultaneously with the already-set search condition are arranged at conspicuous positions. The recommendation level is calculated based on the value of a co-occurrence frequency between search conditions, the history of simultaneous setting, or the estimated number of search results, for example.

Abstract: There is provided a process analysis method capable of clustering of executed processes and extraction of similar processes. A process analysis method of the present invention converts the similarity between processes into a numeric value as a metric by including a process matrix transform 12 and a metric calculation 14 for process records 11 made up of a series of records of rendered service of at least three elements of the time of service, the type of service, and the quantity of service. This enables the calculation of the similarity between processes as a metric from information of only a series of records of rendered services. Accordingly, it becomes possible to cluster the executed processes and to extract similar processes based on the metric herein calculated.

Abstract: The setting of a search condition is supported. Databases 130 and 140 store use frequency information about search conditions, co-occurrence frequency information between search conditions, relationship information unique to a particular field, use history information for each search condition, and simultaneous use history information. Based on a search condition that is already set, the database are referred to so as to calculate the recommendation level of other search conditions, and search conditions that have high recommendation levels and that are likely to be used simultaneously with the already-set search condition are arranged at conspicuous positions. The recommendation level is calculated based on the value of a co-occurrence frequency between search conditions, the history of simultaneous setting, or the estimated number of search results, for example.

Abstract: A clinical trial support system suitable for the investigation of an adverse event or the like. A clinical trial database stores: information about sponsors; information about trial sites; product information including the product names, classification, chemical structure, and pharmacokinetics of trial drugs; trial information including trial name, target disease, phase, and completed status; contract information including trial site name, contracted number of cases, and completed status; trial subject information including sex, birth of date, height, weight, and completed status; and visit information including visit date, inspection result, and medical imaging data. An information control unit distributes a search interface for the analysis of an adverse event to the trial sponsor and a retrieval result to the trial site.

Abstract: A system functioning between the clinical trial facility (trial site) and the party requesting clinical trial (sponsor) to make clinical trial more efficient. Information relating to the sponsor and information relating to the trial site, and trial basic information including the trial target disease name, the total length of trial (trial period), total number of cases and total budget registered by the sponsor, and trial contract conditions including the trial name, trial period, number of cases and budget are stored in a clinical trial database; and the process and information service unit distributes information on trial contract conditions registered in the contract information storage area to the trial site, registers applicant trial sites for trial relating to the distributed trial contract conditions, and distributes the status of applicant responses for trial contract conditions, to the trial sponsor who registered matching contract conditions.

Abstract: A method of characterizing a video includes the steps of extracting frame images from an input video, calculating a time length between each of the frame images and a next one of the frame images, assigning index information determined by the calculated time length to each of the frame images, stringing together the index information assigned to the frame images, and characterizing the input video by the strung-together index information. The index information is a character code, and the strung-together index information is a character code string. The frame images include head frame images located at scene changes of the input video. The input video is being broadcasted or is included in a data base.

Abstract: A method of characterizing a video includes the steps of extracting frame images from an input video, calculating a time length between each of the frame images and a next one of the frame images, assigning index information determined by the calculated time length to each of the frame images, stringing together the index information assigned to the frame images, and characterizing the input video by the strung-together index information. The index information is a character code, and the strung-together index information is a character code string. The frame images include head frame images located at scene changes of the input video. The input video is being broadcasted or is included in a data base.

Abstract: A method of characterizing a video includes the steps of extracting frame images from an input video, calculating a time length between each of the frame images and a next one of the frame images, assigning index information determined by the calculated time length to each of the frame images, stringing together the index information assigned to the frame images, and characterizing the input video by the strung-together index information. The index information is a character code, and the strung-together index information is a character code string. The frame images include head frame images located at scene changes of the input video. The input video is being broadcasted or is included in a data base.

Abstract: A method of feeding back results of analysis of care record to clinical service efficiently, and an information system therefor. A clinical pathway management support information system according to the present invention uses a clinical pathway analysis environment 15 which has a module for analyzing stored care record and making, modifying, and storing clinical pathways. In addition, the information system has a module 17 for selecting an appropriate clinical pathway according to a patient status. The clinical pathway analysis environment 15 also has a care process evaluation module and a clinical pathway evaluation module. The above modules support creation of a more realistic clinical pathway and its modification, selection of a clinical pathway appropriate to each patient, and clinical service which is in line with a clinical pathway.

Abstract: A method of characterizing a video includes the steps of extracting frame images from an input video, calculating a time length between each of the frame images and a next one of the frame images, assigning index information determined by the calculated time length to each of the frame images, stringing together the index information assigned to the frame images, and characterizing the input video by the strung-together index information. The index information is a character code, and the strung-together index information is a character code string. The frame images include head frame images located at scene changes of the input video. The input video is being broadcasted or is included in a data base.

Abstract: A method of characterizing a video includes the steps of extracting frame images from an input video, calculating a time length between each of the frame images and a next one of the frame images, assigning index information determined by the calculated time length to each of the frame images, stringing together the index information assigned to the frame images, and characterizing the input video by the strung-together index information. The index information is a character code, and the strung-together index information is a character code string. The frame images include head frame images located at scene changes of the input video. The input video is being broadcasted or is included in a data base.

Abstract: There is provided a process analysis method capable of clustering of executed processes and extraction of similar processes.

Abstract: A method of characterizing a video includes the steps of extracting frame images from an input video, calculating a time length between each of the frame images and a next one of the frame images, assigning index information determined by the calculated time length to each of the frame images, stringing together the index information assigned to the frame images, and characterizing the input video by the strung-together index information. The index information is a character code, and the strung-together index information is a character code string. The frame images include head frame images located at scene changes of the input video. The input video is being broadcasted or is included in a data base.

Abstract: A method of characterizing a video includes the steps of extracting frame images from an input video, calculating a feature of each of the frame images, assigning index information determined by the calculated feature to each of the frame images, stringing together the index information assigned to the frame images, and characterizing the input video by the strung-together index information.

Abstract: A method of characterizing a video includes the steps of extracting frame images from an input video, calculating a feature of each of the frame images, assigning index information determined by the calculated feature to each of the frame images, stringing together the index information assigned to the frame images, and characterizing the input video by the strung-together index information.

Abstract: A method of characterizing a video by providing index information includes the steps of extracting representative frame images from an input video, calculating a feature of each of the representative frame images, assigning respective codes to the representative frame images, each of the codes being determined by the calculated feature of the representative frame image to which the code is assigned, generating a code string by stringing together the codes assigned to the representative frame images, and storing the code string as index information of the input video.

Abstract: There is provided a video retrieval method, and apparatus, capable of fast matching a feature of a target video with a feature of an enquiry video without conducting work of providing keywords for video retrieval. As for the target video, both a video which is being broadcasted and a video included in a data base can be dealt with.

Abstract: An operation sequence user adaptive system for use in a processing system. The system including a central processing unit in which after objects displayed on a display screen of a display are specified from a mouse or a keyboard, and when a function to be effected for the objects are specified through selection of a function selective menu, a pertinent function of an application program is executed. The adaptive system includes a function of storing a data structure for storing therein a usage frequency of each of the functions, an update function of monitoring an operation conducted by the user for each function and updating a weight between particular functions successively operated, and a combining function of combining, when the weight updated by the update function exceeds a predetermined threshold value, the particular functions associated with the weight.