17 results about "Case records" patented technology

The invention relates to the field of information technology service management, and discloses an automatic work order processing method and system based on a process orchestration engine, and the method comprises the following steps: S1, carrying out semantic analysis, and obtaining feature information; s2, constructing a processing flow based on the feature information; s3, performing resource scheduling and automatic execution on the processing flow; s4, carrying out case recording; and S5, performing iterative optimization on at least one of the first preset model, the second preset model and the third preset model. The system comprises a work order analysis module, a process arrangement engine, a process execution module, a case recording module and a model optimization module. According to the method, work order semantic analysis is performed through the pre-training language model, and atomic operation utility is dynamically evaluated in combination with the Bayesian network model, so that the service intention can be automatically identified, the key entity can be extracted, and the optimal execution path can be reasoned and selected.

The application provides an intelligent summary automatic processing method for bad asset related cases, and relates to the technical field of data processing, which comprises the following steps: Sp1: collecting original case records of bad asset related cases, wherein the original case records comprise judicial ruling texts, financial reconciliation data and protocol scan images; Sp2: constructing a distributed collaborative analysis unit and receiving the original case records; in the distributed collaborative analysis unit, the original case records are converted into a weighted characteristic matrix through a case characteristic clustering algorithm, wherein the weighted characteristic matrix comprises a core characteristic vector, an auxiliary characteristic vector and a stability factor vector; by introducing the distributed collaborative analysis unit and the k-means clustering algorithm, the technical solution realizes automatic characteristic extraction and clustering processing of large-scale case data. Compared with the inefficiency of manual review, the present application can quickly process hundreds to thousands of cases, significantly shortening the processing time.

To provide a program, a method, and an information processing device for operating a computer including a processor capable of further reducing a burden on an expert to record consultation contents of a consultant.SOLUTION: In the system, a program of a server 20 of a matter management service for managing a matter of a legal consultation causes a computer processor to execute a step of receiving registration of consultation contents of a consultant and storing the consultation contents in a storage unit in association with a record of the matter, a step of acquiring information on a discussion point by giving a prompt for extracting the discussion point corresponding to the consultation contents to a large-scale language model based on the information on the consultation contents associated with the record of the matter, and a step of storing the acquired information on the discussion point in the storage unit in association with the record of the matter related to the consultation contents.SELECTED DRAWING: Figure 22

The application relates to the technical field of artificial intelligence, and provides a case allocation method based on natural language processing and related devices, wherein the method comprises the following steps: if a to-be-allocated case meets a trigger condition, obtaining text data corresponding to the to-be-allocated case and a business type, and target user information; obtaining a to-do item corresponding to the text data, a business sub-type of the to-do item and a processing level based on a natural language processing model corresponding to the business type; if a case record of the to-do item exists in the target user information, searching for customer service information of a historical customer service corresponding to the to-be-allocated case from a pre-stored customer service information set; searching for a target customer service from customer services except the historical customer service based on the customer service information of the historical customer service, the business sub-type and the processing level; and sending the to-be-allocated case to the target customer service based on the to-do item. By using the application, the accuracy and processing efficiency of case allocation can be improved.

To provide a program, a method and an information processor for enabling an expert to more easily prepare a result corresponding to the circumstances of an individual item.SOLUTION: The program causes the control unit to execute a step of extracting information to be included in a deliverable from information of consultation contents associated with a record of a matter, a step of generating a prompt for outputting the deliverable by a large scale language model by using the extracted information, a step of giving the generated prompt to the large scale language model and receiving a response from the large scale language model, and a step of presenting the deliverable as the received response to a user.SELECTED DRAWING: Figure 11

To provide a program, a method and an information processor for making a matter more smoothly progress after an expert receives consultation from a consultant.SOLUTION: A program for operating a server including a storage unit configured to manage each of consultation contents from a consultant as a record of an item, and a control unit, the program causing the control unit to execute a step of receiving registration of the consultation contents of the consultant, and storing the consultation contents in the storage unit in association with the record of the item, and a step of transmitting, to a large scale language model, a prompt for extracting a discussion point corresponding to the consultation contents based on information on the consultation contents associated with the record of the item. S1123, the program causes the computer to execute a step S1125 of acquiring information on a discussion point, and a step S1127 of storing the acquired information on the discussion point in a storage unit in association with a record of an item related to a consultation content.SELECTED DRAWING: Figure 11

The invention provides a mediation case allocation method and device based on multi-dimensional evaluation and electronic equipment, and relates to the technical field of case allocation, and the method comprises the steps: firstly determining the case characteristics of a current to-be-mediated case according to the pre-obtained attribute information of a to-be-allocated case, then, based on historical case records and preset attention features in the case features, determining feature indexes and corresponding scores of each dimension of the mediator, and based on the case features and the feature indexes and corresponding scores of each dimension of the mediator, determining a matching degree score of the current case to be mediated and the mediator; the matching degree score is used for generating a case allocation strategy. Through the method, the technical problems of low case allocation efficiency and inaccurate mediation demand matching in the prior art are solved, and the effects of improving the case allocation efficiency and improving the matching accuracy are achieved.

This invention relates to the field of information technology service management, and discloses an automated work order processing method and system based on a process orchestration engine. The method includes the following steps: S1, performing semantic parsing and obtaining feature information; S2, constructing a processing flow based on the feature information; S3, scheduling resources and automating the execution of the processing flow; S4, recording cases; S5, iteratively optimizing at least one of the first, second, and third preset models. The system includes a work order parsing module, a process orchestration engine, a process execution module, a case recording module, and a model optimization module. This invention uses a pre-trained language model for work order semantic parsing and combines a Bayesian network model to dynamically evaluate the utility of atomic operations, thereby automatically identifying business intent, extracting key entities, and inferring and selecting the optimal execution path.

A kind of test process recording and playback device, the device includes industrial grade computer, the industrial grade computer includes artificial interaction module, component control module, use case recording module and use case playback module, the artificial interaction module is connected with component control module, use case recording module, use case playback module and signal sending and receiving component respectively;The component control module is connected with analog switch component, the component control module sends to analog switch component after obtaining the operation information of artificial interaction module, the analog switch component is connected with the product to be tested by connecting component, and sends level signal to the product to be tested to control the product to be tested;The device of the application has high integration, adopts man-machine interface, and the unified interface facilitates the operation and observation of test personnel, on the basis of realizing product manual testing, integrates manual test process recording and playback function, so that the device is more suitable for iterative development and regression testing of product, reduces the labor intensity of test personnel.

This invention discloses a method and system for automatically generating medical voice case records based on a cloud-based large-scale model. It collects doctor's voice data from a medical microphone and performs semantic analysis to identify terminology density. A terminology calibration mapping is constructed through context matching evaluation and ambiguity resolution. Case structure response data from the cloud-based large-scale model is obtained, and priority factors for completion are generated based on structural missingness. Content allocation coefficients are generated based on the cumulative rate of change. Diagnostic conflicts are identified and sorted through the terminology calibration mapping, and key nodes for case generation are established by combining sorting consistency detection. Finally, draft case documents are output based on these key nodes. Standardized case documents are generated by statistical analysis of doctor modification frequency and allocation of key verification points. This effectively solves problems such as insufficient handling of terminology ambiguity, lack of dynamic case structure completion capability, and imperfect error-prone area verification mechanisms in medical voice transcription.

To provide a program, a method, and an information processing device for operating a computer including a processor capable of further reducing a burden on an expert to record consultation contents of a consultant.SOLUTION: In a system, a program of a server 20 of a case management service for managing a case of a legal consultation causes a computer processor to execute a step of extracting information to be included in a deliverable from information of consultation contents associated with a record of the case, a step of generating a prompt for outputting the deliverable by a large scale language model by using the extracted information, a step of giving the generated prompt to the large scale language model and receiving a response from the large scale language model, and a step of presenting the deliverable as the received response to a user.SELECTED DRAWING: Figure 25

The invention provides a collection case division method and system based on dynamic load balancing and intelligent weight calculation. The method comprises the following steps: constructing a collection person ability portrait and a case feature library based on historical collection case records; extracting case features of a to-be-allocated case in a case feature library, inputting the case features into a pre-trained prediction model, and obtaining a standardized effective working time length of the to-be-allocated case as a case weight; obtaining a language threshold value of the to-be-allocated case under the corresponding language category, and taking the language threshold value as a language threshold value of the case; the method comprises the following steps: constructing a target function by taking a minimum weighted sum of a collection person overload degree and case distribution unevenness as an optimization target, solving the target function by using a greedy algorithm, and for each to-be-distributed case in the solving process, screening collection persons of which the language ability values are not less than a language threshold value of the case to form a candidate set, and obtaining a preliminary case allocation result based on the candidate set of each to-be-allocated case. According to the invention, the automatic case division method considering the language ability matching degree is realized.

The invention discloses a public security record making method based on AI multi-model cooperative processing and related equipment, and can be applied to the technical field of artificial intelligence. According to the method, the case evidence picture input by the visual interface is subjected to character conversion through the preset multi-modal visual language model to obtain the first transcription text, and the customized record template is generated through the preset open source large language model in combination with the case type, the case category and the case feature information input by the visual interface; after a case recording material input to the visual interface is subjected to character conversion through a preset voice AI model to obtain a second transcription text, according to the customized record template and the second transcription text, a to-be-verified record is generated through a preset open source large language model, and then the to-be-verified record is verified according to a public security law knowledge base. And performing legal compliance verification on the to-be-verified record through the preset open source large language model, thereby enabling the target record text to meet the requirements of laws and regulations, and improving the making efficiency and making accuracy of the public security record.

The application discloses a disease auxiliary diagnosis method and system based on a large language model, relates to the field of medical artificial intelligence, and comprises the following steps: analyzing and extracting past case records, processing the past case records by using an expression mapping unit to obtain a symptom-diagnosis result sample set, building a symptom-sign correlation framework, supplementing the symptom-sign correlation framework based on a pathological feature set and a diagnosis strategy recommendation set to obtain a symptom-sign correlation graph, collecting current text information, processing the current text information based on the expression mapping unit to obtain intermediate expression features, screening standard features based on the current selection situation to obtain a symptom set, inputting the symptom set into the symptom-sign correlation graph to obtain a diagnosis recommendation strategy, and collecting survival strategies or replacement strategies to feed back into the symptom-sign correlation graph for optimization. The application effectively assists doctors in improving diagnosis efficiency and reducing misdiagnosis probability, and provides standardized and accurate technical support for clinical diagnosis and treatment.

The embodiment of the invention discloses an anti-fraud analysis method and device based on a large model. The method comprises the following steps: acquiring case record information and bank flow information of a case victim; analyzing by adopting a large model, a suspect analysis algorithm and a more-victim analysis algorithm to obtain a suspect analysis result and a more-victim analysis result; and pushing the information to a front-end application for display. The method has the advantages that 1) bank card accounts and persons related to cases can be quickly researched and judged from a large number of fund flow transactions; and 2) from a large amount of fund transactions, which people may be other victims of the same case (except victims reported for the case) can be quickly analyzed. And 3) key information of the case is directly extracted through case handling records, and criminal suspects and victims of the case are quickly analyzed, researched and judged together with bank flow. And 4) automatic and rapid analysis can be carried out on related personnel involved in cases and a large amount of fund flow, the fund flow direction and the personnel involved in cases are found, and then fund accounts are rapidly frozen.

A method for electronically tracking and verifying the application, removal, and chain of custody of wearable drug testing patches is provided. The method involves applying a drug testing patch to a wearer, electronically logging application events associated with the drug patch, including capturing electronic signatures from both the wearer and a first technician, and compiling an application chain of custody document for the respective drug patch that links client information, case record information, the patch serial number, and the respective electronic signature identifiers. After a predetermined wear duration, the drug patch is removed by a second technician, and a patch removal event is logged, including capturing electronic signatures from both the wearer and the second technician. A completed chain of custody document, including a barcode linked to the client, case record, and the patch is generated to allow a laboratory to upload results of an associated testing protocol.

The application provides a case handling method and system based on a large language model, relates to the fields of artificial intelligence and police informationization, and the method comprises the following steps: acquiring multi-source case information in original case records; performing cleaning, element extraction and multi-source information comparison on the multi-source case information through a natural language processing technology to generate standardized analysis prompt texts; inputting the analysis prompt texts into a large language model to generate structured case comprehensive analysis information containing legal application analysis; and converting the case comprehensive analysis information into structured output texts containing case nature labels, legal basis and evidence collection guidelines according to a preset case filing report format. The technical scheme of the application realizes the automation, standardization and precision of case analysis, and solves the problem of case filing.