63 results about "Case Search" patented technology

An information processing apparatus includes a similar case search unit configured to search for similar case data, which is medical case data including examination information similar to examination information of a medical practice target in characteristics, from a medical case database that stores medical case data including examination information of a subject associated with medical practice difficulty level information based on the examination information. The information processing apparatus further includes a display mode determination unit configured to determine a display mode applicable to the similar case data based on a medical practice difficulty level of the similar case data searched by the similar case search unit, and a display unit configured to display the similar case data according to the display mode determined by the display mode determination unit.

The invention discloses an intelligent urban construction examining and approving method based on a case-based reasoning technology. The intelligent urban construction examining and approving method based on the case-based reasoning technology comprises the following steps of constructing an examining and approving case library; inputting new examining and approving case and model parameter information; submitting jogs to a Hadoop cluster to search KNN (k-nearest neighbor algorithm) Map Reduce cases; statistically analyzing a searching result on the basis of a 'weighted integral model'; evaluating and correcting the cases; and performing distributed full-text searching on examining and approving data. The intelligent urban construction examining and approving method has the advantages that by the method, the circumstance of manual examination and approval application at present can be changed, the work efficiency is improved, the basis on examining and approving is increased, and an examining and approving process is intelligent. Distributed searching can be carried out by using a Hadoop frame and a MapReduce frame through a cloud computing center, and a distributed case searching model based on the case-based reasoning technology is established. The 'weighted integral model' is creatively raised to statistically analyzing searched similar cases, and a guidance which is beneficial to new examining and approving cases is obtained.

This invention is directed to appropriately searching for case data similar in the process of a disease. A similar case search apparatus (100) according to this invention includes a disease progress model building function of building a disease progress model by extracting feature amounts from a plurality of medical images obtained by imaging the same object in different periods, a unit configured to read out case data, a unit configured to acquire inspection data, a similar case search function of interpolating, by using the model, feature amounts extracted from the plurality of medical images contained in the inspection data, and calculate a similarity between the inspection data and the case data by using the interpolated feature amounts, and a monitor (111) which displays case data selected based on the calculated similarity.

A method and apparatus for ranked join indices includes a solution providing performance guarantees for top-k join queries over two relations, when preprocessing to construct a ranked join index for a specific join condition is permitted. The concepts of ranking join indices presented herein are also applicable in the case of a single relation. In this case, the concepts herein provide a solution to the top-k selection problem with monotone linear functions, having guaranteed worst case search performance for the case of two ranked attributes and arbitrary preference vectors.

The invention relates to a similar case searching method and device and belongs to the technical field of data processing. The method comprises the steps that multiple field contents of multiple casesin a case database are extracted and converted into word vectors, and the cases are clustered according to the word vectors and divided into multiple clustering clusters; field contents in original cases are extracted and converted into original work vectors; the clustering clusters closest to the original word vectors are searched for, and the cases in the clustering clusters are sorted and fedback. According to the similar case searching method, on one hand, the data calculation amount in searching can be reduced, the searching difficulty is lowered, and the searching efficiency is improved; on the other hand, the searching accuracy can be improved, and the final researching effect is guaranteed.

The invention provides a people's contradiction conciliation case searching and mediation strategy recommending method. The method includes the following steps of 1, data collecting and preprocessing; 2, word segmentation and vector representation; 3, TF_CDF feature clustering; 4, automatic generation of a desensitization typical case set and obtaining of clustering categories and category keywords; 5, generation of a medication strategy prompt; 6, index creating and relevance calculating, wherein the core of a full text search engine comprises index creating and relevance calculating, and typical case data and the clustering categories obtained in the step 4, the mediation strategy prompt obtained in the step 5 and the like are synchronized in elasticsearch for index creating; 7, search result and interface display, wherein a user inputs query content, similar typical cases, case classes and class tag information and mediation strategy recommendation are obtained, and a similar case analysis report is automatically generated. The people's contradiction conciliation case searching and mediation strategy recommending method is high in accuracy and speed.

The invention relates to a post-rolling cooling long-termed self-learning method based on case-based reasoning, which belongs to the technical field of rolling. The method comprises the steps: Step 1: case construction; Step 2: case searching; Step 3: case reuse; and Step 4: case correction. The post-rolling cooling long-termed self-learning method based on case-based reasoning has the advantages that: based on a large amount of on-site production data, the method makes decisions for a long-termed self-learning coefficient in a control cooling mathematic model through case construction, case searching, case reuse, case correction and other case-based reasoning technologies beginning with how to effectively utilize empirical knowledge. For rolled steel specifications, the method can effectively prevent heads from a super-cooling phenomenon, and simultaneously can significantly improve the set precision of sheet and strip head final-cooling temperature models. The post-rolling cooling long-termed self-learning method based on case-based reasoning can make post-rolling cooling models possess the self-adaptive capability of changing with working conditions, and can significantly improve the head setting precision of the models.

Provided is a similar case search device that can perform a similar case search in which attention is paid to the feature amounts of a plurality of regions of interest.

A feature amount calculation unit acquires the feature amount of each of a plurality of regions of interest (ROI), each of which is designated so as to include one or more different target lesions (OL) that are lesions in examination images, in examination data including one or more examination images. An individual similarity calculation unit compares the feature amount of each region of interest (ROI) with a feature amount of a case lesion (CL), which is a lesion in a case image registered in a case, and calculates an individual similarity for each region of interest (ROI). A similar case search unit searches for a similar case on the basis of a plurality of calculated individual similarities.

To provide a working control device, a working control program and a working control system enabling the working under proper working conditions by searching for a working case corresponding to characteristics of a configuration to be worked and setting the working conditions based on this working case. Configuration information about characteristics of a three-dimensional configuration is obtained from design data of an object workpiece, a working case is searched out based on the configuration information from the working case storage unit storing working conditions, as a working case, of the working conducted in the past, the working conditions are determined based on the working case searched out by the case searching unit, and a working machine is controlled based on the working conditions.

The present invention discloses a traffic accident responsibility determination system based on machine learning, and relates to the technical field of traffic accident responsibility determination. The system comprises a traffic information interaction center, an image processing system and an accident responsibility analysis system. The traffic information interaction center comprises an image character receiving module and a determination result sending module; the image processing system comprises an image loading module, a color extraction module, a contour extraction module, a Gaussian Blur module and a distance analysis module; and the accident responsibility analysis system comprises a feature case search module and a comparison computing module. The traffic accident responsibilitydetermination system based on machine learning allow a reporter to replace the traffic police to perform photograph and evidence collection of a scene of a traffic accident and pass back informationin real time for responsibility analysis and determination so as to effectively reduce the time of scene measurement evidence collection, analysis and determination, is high in efficiency and accuratein determination, reduce human subjective factors, can recover the traffic as soon as possible and can avoid traffic congestion.

Image search conditions that are past search conditions are displayed in an image search history area, and text search conditions are displayed in a text search history area. When a user selects a desired image search condition out of the search conditions displayed in the image search history area, and selects a desired text search condition out of the search conditions displayed in the text search history area, case data that matches the selected image search condition and the text search condition is extracted from a database and displayed in a search result display area.

The invention relates to a free retrieval case search engine system and searching method, solving the problems that a conventional electronic case search engine only can perform simple retrieval and is low in retrieval accuracy. The system includes a template unit, a data unit, a combination unit, and a return unit, the data unit and the combination unit are connected with the template unit, and the return unit is connected with the combination unit. The system performs classified storage on the case data, searching factors are combined based on the elements selected by users, the customized results are displayed based on the elements selected by the users after the case data is searched. The free retrieval case search engine system and searching method can freely customize retrieval condition schemes, can freely select and export the medical items in the case files, so that the users obtain the freedom maximally, the users' needs can be better met, and data required by the users can be returned.

A weighting processing unit performs a weighting process for an individual lesion similarity which is a similarity between a target lesion and a case lesion of the same type, using a first weighting coefficient corresponding to the degree of contribution of each type of lesion to the specification of a disease name, to calculate a processed individual lesion similarity corresponding to a first purpose of specifying the disease name. In addition, the weighting processing unit performs the weighting process for the individual lesion similarity, using a second weighting coefficient corresponding to the degree of contribution of each type of lesion to the specification of a severity, to calculate a processed individual lesion similarity corresponding to a second purpose of specifying the severity. A total similarity between a target image and a case image is calculated for each purpose on the basis of the processed individual lesion similarities.

The invention relates to a big data technology, and discloses a similar case searching and sorting method, which comprises the following steps of: receiving a case name keyword of a source case, a case-involved main keyword, a keyword of a case processing unit and a keyword of a punishment amount; Judging the case name similarity, the case involved main body similarity, the case processing unit similarity and the punishment amount similarity of each case and the source case in a case library according to a preset keyword similarity judgment rule; And carrying out weighted calculation to obtainthe similarity of each case to the source case, and then sorting the cases according to the similarity. The invention further provides a server and a computer readable storage medium. According to the similar case searching and sorting method, the server and the computer readable storage medium provided by the invention, similarity calculation of multi-dimensional information can be carried out on the cases in the case library and the source case, and the cases are sequentially displayed according to the comprehensive similarity, so that a user can conveniently and accurately search the cases.

The invention provides a search method and a system based on visualization. The method comprises the following steps: acquiring a search mode selected by a user in a first level search interface, wherein the search mode comprises a visualization search mode, a case search mode and a regulation search mode; acquiring a first keyword input by a user; according to the first keyword and the selected search mode, the first-level search being performed to obtain the first-level search result, and according to the first-level search result, the multi-level search being performed according to preset rules to obtain the search result. The invention adopts the visual data searching method, divides the data into a plurality of dimensions for deep-level searching, improves the searching speed and thesearching quality, and improves the user experience degree.