108 results about "Case files" patented technology

The invention discloses a chronic disease medical and anti-medical fusion collaborative management and control system, belongs to the technical field of health data processing, and solves the problem that when an existing system extracts an electronic case file of a user, the health condition change of a patient cannot be reflected in real time, and consequently key feature extraction is inaccurate. The system comprises a user side, a fusion cloud platform, a medical defense judgment module and a follow-up visit customization module, and the fusion cloud platform is used for executing a risk assessment model and outputting a risk assessment result by taking a normalized data set associated with a user as input; a risk assessment model based on deep learning and an attention mechanism is constructed by fusing a cloud platform, so that the risk assessment model can identify and analyze a normalized data set collected by a user side, and the user side can collect a multi-source heterogeneous normalized data set which is good in timeliness and reflects the health condition of a patient in real time; therefore, it is ensured that the risk assessment model provides an accurate assessment path for chronic disease medical prevention and control.

The invention relates to the technical field of process automation and artificial intelligence technologies, in particular to a multi-modal-based agent collaborative auditing method and system, and the method comprises the following steps: obtaining file information,..., carrying out the similarity analysis of a feature vector set and a decision vector set, obtaining a weight set corresponding to the historical file with the highest similarity from a database; setting the weight set as an initial weight set or a final weight set based on a similarity result; performing decision conflict analysis based on the decision vector set, and optimizing the initial weight set based on an analysis result to obtain a final weight set; and performing weighted fusion based on the final weight set and the decision vector set to obtain a fusion decision, and the method has the advantages of effectively solving decision conflicts in a multi-modal data fusion process, accurately positioning a problem root and improving man-machine cooperation efficiency.

The invention relates to a semantic extraction model and method for enhanced generation of case information retrieval, and the model comprises four parts: a case file data processing module, a semantic-based document pre-splitting module, a rule-based semantic segmentation post-processing module, and a document splitting result processing and storage module. According to a data form of a case file document, in combination with the advantages of a rule-based document partitioning method and a semantic analysis model SeqModel, understanding and effective segmentation of context semantic contents of the document are realized. According to the method, the model structure is simple, the universality is high, the advantages of a natural language processing semantic analysis model and a rule model are integrated, not only is the dependency relationship of context semantics considered, but also the format characteristics under the specific data format are concerned, the SeqModel model can be trained and the rule can be formulated according to the actually-applied document data field, and the method is suitable for being applied to the field of document data. And efficient splitting of large-scale documents is realized.

The invention relates to the technical field of medical data processing, in particular to an emergency data quick response management method and system, and the method comprises the steps: obtaining emergency case information, carrying out basic diagnosis, and obtaining a case pre-diagnosis result; accessing a case file system according to the emergency case information, and matching the emergency case information to obtain case matching information; the case matching information is classified, each classification result corresponds to a case data field, and a plurality of case data field sets correspond to single emergency cases; distributing weights to the plurality of case data fields according to a case pre-diagnosis result, obtaining response association weights, and establishing an emergency treatment quick response queue according to the response association weights; task allocation is carried out on the quick response queue to multiple response ends, and the multiple response ends make plan preparation for the allocated tasks at the same time and wait for calling of the emergency quick response queue. According to the invention, the flexibility and the automation degree in the aspects of case information matching and dynamic resource allocation are met.

A case management system and method of managing and organizing documents within the case portfolio for efficient review includes data that is dynamically updated to result in a final report that includes real-time updated data. The system collects and displays the data on a secure portal for interactivity with a professional stakeholder reviewing the data. The data is automatically transformed into different formats when received, including a standard text-and-image file, a text-only file, and an image-only file, thereby allowing the reviewing stakeholder to interact with the data in multiple ways. As the system translates the document into different viewable formats, the system automatically scans the data within the document for important information, such as dates, times, names, locations, and other important pieces of information. The system then assigns date-and-time associations with each document, and automatically organizes the documents in a chronological order on a display.

Embodiments of the invention disclose an automatic driving scene retrieval method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining scene case files corresponding to a plurality of scene test cases; for each scene test case, performing analysis and key element extraction processing on the scene case file to obtain static scene content and dynamic scene content corresponding to each scene test case; constructing a scene shelf list based on the scene identification information, the static scene content and the dynamic scene content of each scene test case; in response to the scene retrieval request, the target scene test case is retrieved from the scene shelf list based on the target retrieval condition carried in the scene retrieval request, so that comprehensive coverage of scene elements is realized, and a composite scene containing complex interaction is accurately positioned; and a more complete and more accurate scene retrieval capability is provided for the test of the automatic driving system.

The disclosed system provides a multi-functional legal services space in Virtual Reality (VR) that includes a law office, courtroom, conference room, and law library. The VR program enables privileged and confidential attorney-client communications, visitation between attorneys and clients, and provides clients with tools and access to work on their legal matters. The program facilitates the electronic signing of legal documents, secure legal document case file storage, legal research, document drafting, and hearing and trial preparation. Meetings and depositions can be conducted with multiple parties through VR headset access and / or video conferencing participation. The VR courtroom can be utilized by judges, magistrates, and mediators for legal proceedings. For incarcerated individuals, a VR headset combines identity verification technology with secure internet connectivity, allowing access to a database containing their personal legal information.

The invention discloses a verification method and device for accelerating function coverage rate convergence, a medium and equipment, the method is applied to a verification platform, the verification platform comprises a directional excitation generator, a function coverage rate model and a to-be-tested design, and the verification platform is provided with a simulation switch. Comprising the following steps: analyzing a code file of a function coverage rate model by utilizing a preset cross use case script file to extract coverage bin information corresponding to a cross function coverage point, and configuring a simulation switch according to the coverage bin information to generate a boundary use case file; and reading switch configuration information in the boundary case file by using a directional excitation generator, generating a directional excitation flow based on the directional instruction sequence according to the switch configuration information, and sending the directional excitation flow to the design to be tested to execute verification work. By adopting the technical scheme of the invention, the boundary use case of the cross function coverage point can be automatically generated, so that the convergence time consumption of the function coverage rate is effectively reduced, and the convergence rate of the function coverage rate is improved.

The invention provides an OFD archive file retrieval method and system, and the method comprises the steps: receiving file data, and carrying out the authentication verification of the file data; splitting the file into file units and storing the file units into a message queue for asynchronous processing in sequence; extracting text information, table information and picture information in the OFD file to generate comprehensive text information; preprocessing the comprehensive text information, and recording the occurrence frequency of each segmented word and the corresponding page number; creating an index in a search engine cluster, wherein an index field comprises a file ID (Identity), word segmentation content, occurrence frequency and a page number; searching according to an input keyword, and arranging results in a descending order according to the occurrence frequency of word segmentation; and marking the page number of the keyword for retrieval and positioning. The method has the beneficial effects that rapid analysis and preprocessing of large-scale OFD data are realized through asynchronous processing of the message queue and an OCR (Optical Character Recognition) technology; redundancy is reduced through coarse-grained word segmentation during indexing, and recall is enhanced through fine-grained word segmentation during retrieval; the keyword granularity input by the user is adapted, and the retrieval scene adaptability is improved.

The invention provides a case file named entity recognition method and system based on semantic analysis, and the method comprises the following steps: obtaining original text data of a judicial case electronic file, carrying out the data preprocessing and word level division of the original text data, and obtaining a lexical element sequence; processing the lexical element sequence by adopting a sliding window mechanism, extracting syntactic phrases and fragment feature information, and fusing to generate a candidate fragment feature set; entity types are defined, similarity calculation is carried out on the entity types and the candidate segment feature vectors, the entity type with the highest similarity score is obtained and associated with the candidate segments, and a flat entity set is generated; constructing a predefined structured template, and matching entities into slots of the predefined structured template by adopting a pre-trained classification model to obtain an initial structured instance set; according to the method, the key entities in the file can be efficiently identified, the structural relationship and event information between the entities can be automatically constructed, and the comprehensiveness, accuracy and processing efficiency of case semantic extraction are improved.

The invention provides a method and device for generating an electronic file of a non-performing asset, equipment and a medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining different case data for a non-performing asset case uploaded by a user; extracting multi-dimensional metadata of a non-performing asset case from different case data, and identifying a plurality of associated entities of non-performing assets and an association relationship between different associated entities; constructing a knowledge graph of the unhealthy asset case on the basis of the association entities and the association relationships; determining a graph relation network associated with the associated entity from a configured historical unhealthy asset case library; performing cross check on the knowledge graph, the graph relation network and the multi-dimensional metadata; and if the knowledge graph, the graph relation network and the multi-dimensional metadata pass the cross check, generating an electronic file of the non-performing asset case based on the multi-dimensional metadata and different case data. According to the invention, full-process intelligent management of the unhealthy asset case is realized.

The invention provides a financial case information mining system and method based on a large language model, and the method comprises the steps: carrying out the preprocessing of a financial case file through a financial law large language model, and carrying out the entity recognition of the preprocessing data through the financial law large language model and a constructed financial law knowledge graph; and the man-machine loopback module intelligently analyzes and determines the entity recognition result, performs entity relationship recognition according to the determined entity recognition result by using a financial law big language model and a financial law knowledge graph, intelligently analyzes and determines the entity relationship recognition result, and outputs the recognized entity and entity relationship. The accuracy and reliability of the identification result are ensured while the identification efficiency is improved, the omission condition of the entity relationship is avoided as far as possible, and the financial case handling accuracy requirement is met.

The invention provides a tobacco file examination method and system based on a visual-language large model, and the method integrates multi-modal feature extraction, cross-file content association, a rule introduction mechanism based on the large model, and an evidence traceability mechanism based on the large model. The method comprises the following steps of: performing unified analysis, element extraction, signature normative detection and regular compliance examination on electronic files and paper scanning images including catalogs, attachments, photos and the like for case file materials of cases which have many cases in the tobacco industry and are not purchased in a specified tobacco enterprise; and outputting the results of whether the file archive is complete, whether the signature is correct, conclusion and evidence positioning and the like. In combination with a Prompt dynamic instruction and a rule knowledge base, flexible introduction of specifications and standards during case auditing in the industry is realized, and an automatic, interpretable and traceable file auditing task is completed.

The invention discloses an intelligent management system for construction of an added elevator of an existing residence, belongs to the technical field of elevator construction management, and assists workers in quickly performing construction plan design of the added elevator of the existing residence by storing specified standard information and construction standard case files of the added elevator of the existing residence. Then various types of information in the construction process are managed in a classified mode, the elevator construction process can be more standard, and traceable data can be effectively formed; and then a construction comprehensive management module is further arranged, safety in the elevator construction process can be effectively monitored, and the construction safety performance is improved.

The application discloses a page test method and device, electronic equipment and storage medium. The method comprises the following steps: obtaining a target test table for a target page, wherein the target test table comprises a use case table and a use case step table of the use case table, the use case table comprises a target test use case for the target page, and the use case step table comprises test content of each test step in the target test use case; analyzing the use case table and the use case step table by using a preset test tool to obtain a use case data file and a test use case file; and testing the target page according to the use case data file and the test use case file to obtain a test result for the target page. According to the method, the use case data file and the test use case file are directly obtained through the use case table and the use case step table, and a test use case and a use case data file do not need to be manually written by a technician, so that the use case data file and the test use case file are obtained efficiently, and the test efficiency of the target page is improved.

The invention provides an intelligent file evaluation method and system based on cooperation of a multi-modal large model and a rule engine, and the method comprises the steps: carrying out the multi-modal content analysis of a file file, and generating an analysis result set containing a content segment, a page number identifier, a region position identifier, layout type information and a credibility score; combining the field description text with the anchor point description text to generate a structured evaluation fact set; inputting the set into a rule engine, executing normative rule judgment and generating a verification result with a judgment score; and finally, according to an evaluation dimension aggregation rule result, outputting a dimension score, an overall evaluation score and a question detail item. The system comprises a multi-modal content analysis module, an evaluation fact generation module, a rule engine module and an evaluation result output module. According to the method, high-precision automatic evaluation of complex file documents is realized, the evaluation efficiency and consistency are improved, and the method is suitable for smart office scenes.

The invention relates to a method for evaluating the driving of a vehicle by a driver on a given route, the method comprising the following steps: a) simultaneously and synchronously acquiring data on the environment outside the vehicle and the state of the latter over the course of the route; b) processing these data sequences in order to identify the specific contexts and the manoeuvres of the vehicle respectively associated with them, and deducing therefrom the corresponding successive specific driving situations and the rules applicable to these situations; c) determining any rules that might not have been complied with; d) associating the data and results from steps b) and c) in separate case files; e) communicating the case files to the driver by displaying them upon completion of the route or at a later time, accompanied by tailored advice.

An artificial intelligence (AI) patient actor system and associated functionality can be used to simulate an interaction between a medical student and a patient for educational purposes. The system can include a database including a patient case file and an assessment rubric, a prompt refinement system that provides the patient case file and the assessment rubric to an artificial intelligence model (e.g., a large language model (LLM), etc.), and a student interface system that causes a student user interface for simulating the interaction between the medical student and the patient to be presented via a computing device.

The invention provides a group insurance claim settlement filing method and device based on RPA, electronic equipment and a medium, and relates to the technical field of computers. The group insurance claim filing method based on the RPA comprises the following steps: inputting a claim filing material into a claim system through the RPA according to pre-configured data and an insurance database; obtaining a case number from an insurance database, and generating an accident claim settlement list from the claim settlement system according to the case number; and performing data comparison on a target object in the accident claim settlement list and a corresponding insured person in the insurance database, if the comparison result is consistent, performing case filing on insurance claim settlement of the target object, and if the comparison result is inconsistent, skipping case filing of the target object. Through the technical scheme provided by the invention, the problems of low processing efficiency and high error rate in group insurance claim filing are solved, the processing efficiency of claim filing is improved, and manual errors are reduced.

The invention provides a case material arrangement method and system and electronic equipment, and relates to the technical field of computers.The method comprises the steps that original case materials of different financial institutions are received and processed according to a material preprocessing strategy, and case metadata is generated; then performing batch supplementary processing on the case metadata to generate case reliable metadata, and storing the case reliable metadata to a corresponding case metadata folder; a template is configured according to a court case filing requirement to generate a to-be-used seal material; and finally, generating a case filing material set corresponding to each case metadata folder on the basis of the case filing material standard in combination with the case reliable metadata and the printed material. Through the method, the case materials can be subjected to standardized processing, and the efficiency and the accuracy of case material arrangement are improved, so that the processing efficiency is improved, and the requirements of large-scale and multi-customer complex scene application are met.

This invention provides an automated online transaction testing system and method based on the AIX system, comprising: a test case interpreter / executor module: taking test case files written according to a predefined syntax as input, interpreting and executing the test case files, and outputting a test report file after execution; and a test case manager module: generating test case tar packages, and reusing, managing, and maintaining test cases based on these tar packages. The automated online transaction testing solution for banks provided by this invention standardizes online transaction testing; supports the writing of personalized test case content through preset syntax tags; and supports the automation of online transaction testing through the syntax interpretation and execution of test cases. This invention implements four main functions—test case packaging, test case unpacking, test case storage, and test case retrieval—through the test case manager, achieving centralized maintenance and management of test cases.

The application provides an intelligent work injury identification research and judgment method based on natural language understanding, which can assist business personnel to obtain identification conclusions according to investigation results, search similar case files, give judgment results and legal basis, improve the accuracy and efficiency of work injury identification of business personnel, and avoid unnecessary litigation risks. The application has the following advantages: first, the method does not add any additional information to the original submitted information, which does not increase the burden of work injury identification personnel; second, the method can automatically assist business personnel to issue work injury identification conclusions and identification legal basis, and improve the work efficiency of business personnel; third, the method can search similar judicial judgment cases, and ensure the last link of work injury identification; and finally, the method is based on text information data, and is convenient for popularization and use in different institutions and different regions.

The utility model discloses a financial file storage device which comprises a base, a rotating disc and a storage cabinet. A turntable is arranged above the base, a first magnet is arranged on the lower surface of the turntable, a second magnet is arranged on the upper surface of the base, and the first magnet and the second magnet attract each other; the storage cabinet is a cylindrical cabinet formed by splicing a plurality of cabinet body units, each cabinet body unit comprises a cabinet body shell and a cabinet body cover body, a first guide rail is arranged on the upper surface of each cabinet body shell, and a first slot is formed in the lower surface of each cabinet body shell; the plurality of cabinet body units are divided into a plurality of cabinet body layers which are arranged in the vertical direction, and each cabinet body layer comprises a plurality of cabinet body units which are arranged in a circle in the circumferential direction of the rotating disc. The storage cabinet of the device is formed by splicing a plurality of cabinet body units, the classification expansion function is achieved, the storage cabinet is subjected to magnetic attraction damping force during rotation, and the safety during rotation can be improved.

Embodiments of the present disclosure disclose a wearable device monitoring scheduling method and device, an electronic device and a readable medium. A specific embodiment of the method comprises: obtaining case file information; performing file association processing on the case file information to obtain file association information; performing intent recognition processing on case query information to obtain query intent information; performing dynamic routing processing on the query intent information to obtain target query path information; performing multi-source query processing on a heterogeneous database to obtain case association query result information; generating performance requirement configuration information of a wearable monitoring device; obtaining each to-be-matched performance requirement configuration information; matching the to-be-matched performance requirement configuration information corresponding to the performance requirement configuration information as matched performance requirement configuration information; determining a to-be-scheduled device identifier; and controlling a preset robot to take out the wearable monitoring device and schedule it to a preset position. The embodiment reduces the number of incorrect scheduling of the wearable monitoring device.

The present invention relates to the technical field of power dispatching, and discloses a method and system for quickly converting clearing cases in the electricity spot market. The present invention obtains the case file of the clearing system through the set case operation interface, and according to the data structure characteristics of the case file, utilizes the data structure characteristics of the E text and the obtained case file, and adopts a conversion method oriented to data tables to avoid establishing object fields one by one, so as to achieve the quick conversion of a large amount of data, with higher efficiency; furthermore, it enables the power dispatching agency to refer to the content of the present invention when carrying out the construction of the technical support system for the electricity spot market.

Wireless Charging Dock for Lawyer Devices with Multi-Angle Case File Viewing

The invention discloses a DNA multi-dimensional genetic relationship intelligent matching tracking system and method, a storage medium and electronic equipment, and the system comprises a case management module which is used for creating a case file; the multi-modal data import module is used for providing an input interface of DNA-STR data; the target crowd library construction module is used for creating a target crowd library and storing the DNA-STR data of the target crowd into the target crowd library; the multi-dimensional genetic relationship calculation module is used for calling a preset standardized authoritative algorithm to calculate a genetic relationship according to a target crowd library and a to-be-analyzed material evidence inspection material selected by a user from the case file; the result output and sorting module is used for outputting analysis results containing the genetic indexes and intelligently sorting the analysis results according to the sequence of genetic index values from high to low; according to the invention, through multi-modal data import, target population library construction and multi-dimensional full-pedigree genetic relationship calculation, multi-dimensional genetic relationship intelligent matching pursuit and intelligent result sorting of case material evidence inspection materials are realized.

A system for integrating medical device case files with corresponding electronic patient care records (ePCRs) is provided. The system includes a database storing a plurality of medical device case files and at least one processor. The at least one processor receives, from a patient charting device, charting data documented in an ePCR for an encounter with a particular patient, generates a search criterion based at least in part on the charting data, the search criterion including a predetermined relationship between at least one first parameter from the charting data and at least one second parameter associated with a medical device case file, identifies the medical device case file based on the generated search criterion, and generates an integrated patient encounter record including at least a portion of medical device data from the medical device case file and the charting data.

The present invention discloses a blockchain-assisted electronic case management system, which relates to the technical field of auxiliary case management. The system realizes all-round management and intelligent processing of case evidence through the organic combination of modules such as a collection unit, an identification unit, an evaluation unit, an early warning unit, a strategy unit and a blockchain storage unit. The collection unit is responsible for collecting case information and corresponding evidence data, and cleaning and preprocessing them; the identification unit identifies and analyzes different forms of evidence through text recognition, video processing and voice recognition technology; the evaluation unit evaluates the recognition result and generates a corresponding evaluation result; the early warning unit issues an early warning instruction when the evaluation result does not meet the standard; the strategy unit generates and executes the corresponding strategy according to the evaluation result; the blockchain storage unit is responsible for archiving qualified case evidence data on the blockchain to ensure the security and non-tamperability of the data.

The invention relates to a multivariate evidence correlation analysis method in the judicial field, and belongs to the technical field of intelligent processing of documents. The method comprises the following steps: loading judicial case file data and extracting an evidence content text; constructing an evidence rule template according to judicial domain knowledge and expert opinions; extracting evidence elements based on the rule template and constructing an evidence library; building a multivariate evidence information network, calculating the condition probability of association information among evidence elements based on a Bayesian network, and forming a multivariate evidence association analysis model; optimizing the multivariate evidence information network through a random strategy reinforcement learning algorithm; and calculating an information probability value of the multivariate evidence subnet, and selecting the most valuable multivariate evidence information network. According to the method, a multivariate evidence correlation analysis event of a judicial case is converted into an updating and optimizing task of a multivariate evidence information network, the complex correlation problem among multivariate evidences is simplified, a correlation model among the multivariate evidences is given, and certain auxiliary support is provided in a judicial decision support system.