27 results about "Physician Data Query" patented technology

The invention discloses a Chinese vocabulary entry translation method and device, electronic equipment and a storage medium. The method comprises the following steps: performing vector coding on a Chinese vocabulary entry to be translated to obtain a historical data query vector and a terminology query vector; determining a historical data query index according to the historical data query vector and the historical translation data vector index, and determining a terminology query index according to the terminology query vector and the terminology vector index; determining a historical translation data example according to the historical data query index and the historical translation data bank, and determining a professional term example according to the professional term query index and the professional term bank; splicing the historical translation data examples, the terminology examples and the to-be-translated Chinese vocabulary entries to a prompt template to obtain a target prompt project; and inputting the target prompt project into the target large model for translation, and outputting an entry translation result. The method can improve the accuracy and speciality of entry translation, and can be widely applied to the technical field of computers.

The invention discloses a method and system for automatically generating a bidding document based on a bidding requirement, and relates to the technical field of bidding, and the method comprises the steps: obtaining a bidding requirement file, analyzing and extracting core information, collecting historical materials, building an enterprise bidding database, comparing the core information with database resources, and obtaining matched resources; building a framework filling content according to the matching resources and the bidding specifications to form a draft, and finally verifying and perfecting to make a final bidding file; according to the method, manpower, material resources and time consumption of bidding document making can be reduced, the omission or misunderstanding risk during manual bidding requirement interpretation is reduced, the bidding discarding possibility is reduced, repeated labor caused by enterprise bidding resource dispersion is avoided, the making efficiency is improved, meanwhile, the problem of content inconsistency is reduced, and the making quality of the bidding document is fundamentally improved.

The invention provides a title review process management method and system, and relates to the technical field of review process management, and the method comprises the steps: constructing a database for storing historical review features, obtaining to-be-reviewed data, extracting the features of the to-be-reviewed data to obtain to-be-reviewed features, and carrying out the preliminary review through a preset review rule to obtain a preliminary review result; if the preliminary review result conforms to the expectation, calculating a first similarity between the to-be-reviewed feature and a working class sub-feature in the historical review feature, and if the preliminary review result does not conform to the expectation, sending out a material doubt signal; and judging whether the first similarity is greater than a first preset similarity threshold and less than 1, if so, sending a material doubt signal, and otherwise, sending a material legal signal. The review efficiency can be improved.

The invention discloses an RPKI data management method and system, and the method comprises the steps: firstly building an RPKI public facility service management chain through a block chain technology, carrying out the management of the identity, authority and conflict of an RPKI service building party, issuing a hosting service identity identifier to a first hosting service party when the first hosting service party joins in the RPKI public facility service management chain, and carrying out the management of the hosting service identity identifier to the first hosting service party; a first hosting service party is identified to have hosting database service qualification, then a hosting service chain of the first hosting service party is established through a block chain technology, an address of the hosting service chain is stored in an RPKI public facility service management chain, and the hosting service chain is used for providing data hosting service for a delegation party of the first hosting service party. Therefore, a trust chain from a management chain to a trusteeship service chain is established, malicious operation which is not authorized by an entrusting party can be effectively avoided based on tampering resistance recorded on the block chain, it is ensured that the trusteeship service party provides safe and reliable services in an RPKI system, and therefore the data security of RPKI trusteeship data is ensured.

This invention relates to the field of information retrieval technology, specifically to a retrieval enhancement generation method based on machine learning for second-level retrieval of user data. This method solves the technical problems in existing technologies where structured medical data suffers severe loss of key clinical semantics during vectorization and fixed-length segmentation, and cannot support cross-indicator correlation analysis and low-latency feedback. The method includes: acquiring user queries against a structured user database; determining the semantic loss of at least one candidate data segment corresponding to the user query in the temporal continuity and medical relevance dimensions; using the semantic loss to characterize the degree of clinical semantic loss caused by segmentation of the candidate data segment; determining the completeness of the indicator association between the candidate data segment and the user query based on the semantic loss; and adjusting the retrieval results for the user query based on the indicator association completeness.

The invention provides a data processing system which is used for processing uploaded data, and the data processing system queries an extended database data table of a database according to a data name of the uploaded data so as to obtain first data according to a first serial number; comparing the field type of the data content of the uploaded data with first data, so as to obtain a first data table corresponding to the first data when the field type of the data content conforms to the first data, or obtain a second data table corresponding to the first data when the field type of the data content does not conform to the first data; establishing the first data table according to the field type of the data content and a second serial number, and storing second data corresponding to the first data table and the second serial number in the expanded database data table; storing the data content in the first data table; and merging the data tables according to the data names. The data processing system can automatically adjust the data form.

The invention provides a structured novel creation platform, method, technology and device. The method is based on a web application technology, an information retrieval algorithm and a database technology. Relates to the technical field of literature creation. The system comprises a rear-end function module, a front-end interaction module, a system configuration module, a user module, a world view module, a historical poem year table module, a database module, a novel and chapter module, a chapter auxiliary creation module, a progressive creation module, a chart visualization module and other auxiliary creation modules including notes, schedules, labels and the like. Compared with the prior art, due to the structured function and the provided view, the novel can be created progressively based on a framework, various novel elements are dynamically associated in a multi-dimensional mode, and therefore a more efficient creation method and a more efficient management means are provided. Meanwhile, the modules of the world view, the database, the historical poem year table and the like can well integrate a macro background, a long period and complex data, and the difficulty of serialized creation can be greatly reduced.

The invention discloses a multi-target three-parallel disassembly line balance optimization method and device and electronic equipment, and the method comprises the steps: S1, collecting the original data of a disassembly line to form a data database, and building a mathematical model with the minimization of the number of started workstations, the minimization of an idle balance index and the minimization of an energy consumption index as targets; s2, training a strategy network and a value network by adopting DPG, and storing the trained strategy network; s3, receiving input information of a waste product needing to be disassembled at present, and calculating beat time; s4, inputting the related information, received in the step S3, of the waste product needing to be disassembled currently into the strategy network obtained in the step S2, and obtaining A output by the strategy network; s5, decoding the A output by the strategy network obtained in the step S4 to obtain a corresponding disassembly scheme; according to the method, the problem of three-parallel disassembly line process distribution and optimization under the condition of market demand change is solved.

The invention discloses a configuration generation method and device of a risk control survey report, a medium and a terminal, relates to the technical field of risk management and the financial field, and mainly aims at improving the problems that in an existing method, the customization development process is complex and long in period, consequently, the exhibition efficiency is reduced, and in the long-term service iteration process, the development efficiency is poor. The problems that system codes and data models are highly repeated and redundant and the overall structure of a report is disordered and unclear due to the fact that the same risk verification logic and basic information modules are repeatedly embedded are solved. A general risk control survey report substrate of a target industry and an independent entry database of each service plate included in the industry are created, and the independent entry databases of the service plates are combined with the general risk control survey report substrate, so that an initial risk control survey report of the service plate is obtained; and performing logic verification and risk control verification on the initial risk control investigation report to generate a final risk control investigation report corresponding to each service plate.

This disclosure relates to the field of power technology and provides a method and apparatus for distribution network defect management based on deep deterministic strategy gradient. The method includes: establishing a power grid environment database, wherein the database includes a defect record database, a weather status database, a line data database, and a human resource database; training a DDPG model through interactive learning between an agent and the power grid environment database; optimizing the noise in the DDPG model using a quasi-random fractal search algorithm to obtain a QRFS-DDPG model; and inputting the acquired power grid environment information into the QRFS-DDPG model to determine the defect elimination plan for the distribution network. This disclosure enables the automatic identification, classification, and intelligent scheduling of power grid defects using a deep deterministic strategy gradient algorithm optimized by a quasi-random fractal search algorithm, improving the efficiency and quality of defect handling, ensuring the stable and safe operation of the power grid, and enhancing the operational efficiency and security of the power grid.

The invention relates to the technical field of data processing, in particular to an intelligent management method and system applied to a shared laboratory, and the method comprises the steps: analyzing experiment project invitation information and schedule information of digital experiment equipment based on a preset experiment information knowledge base; determining a matching database of matching relations among the experiment project invitation information, the digital experiment equipment and the researchers; and determining target experimental equipment and researchers responsible for testing the directory entry according to the state information of the experimental equipment. By means of the method, the problems that in the traditional sharing cooperation process, arrangement of researchers and arrangement of laboratories consume a large amount of time, and vast high-quality human resources and laboratory resources on a sharing laboratory platform cannot be utilized are solved.

A medical literature text extraction system for hypertension includes a literature knowledge extraction unit, which includes: an external knowledge base collection unit, a crawler download document unit, a book database scan to PDF unit, a PDF document aggregation unit, a PDF file conversion to OCR image data unit, an OCR image data conversion to text unit, a non-text content cleaning unit, a document content splitting unit, a pronoun replacement unit, a paragraph splitting unit, a compound sentence splitting unit, a word splitting unit, and a named entity recognition unit, which is used to identify all the word segments obtained by the word splitting unit as corresponding entities, wherein an entity is composed of one or more word segments, and each entity represents its own independent meaning. The present disclosure can overcome the problem that the popularization of hypertension medication knowledge itself faces obstacles in practice, and can also intelligently organize the specialized knowledge of hypertension and improve the diagnosis and treatment level of hypertension.

The present invention discloses a database management system, method, device and medium based on multiple data sources, including a data request module, a data control module, a data comparison module, a data classification module, a data storage module and a security management module that are communicatively connected. The data request module responds to input requests from any of the multiple data sources, performs format conversion and preliminary deduplication on the input data to generate a deduplication file, encrypts and transmits the deduplication file to the data control module according to an agreed secret key, and extracts the initial information of the deduplication file after decryption by the data control module. The data comparison module uses written data to dedupe the initial information to generate target information and update the overlap database. The data classification module uses information keywords of the target information to determine the classification result based on the target classification model. The data storage module imports the target information into the database according to the classification result. The security management module performs security management and control on the system to improve the overall management reliability of the database.

According to an assessment method for body composition data of the present disclosure, a three-dimensional human body scanner is first provided. The three-dimensional human body scanner is provided with a database, and the database stores reference data of different races. Next, a subject inputs parameters such as race, gender, age, and body weight into the three-dimensional human body scanner. Then, the three-dimensional human body scanner scans the body of the subject to obtain the body size of the subject. The three-dimensional human body scanner obtains measurement data on the basis of the obtained body size and the parameters input by the subject. Finally, the measurement data of the subject is analyzed and compared with the reference data in the database. In this way, the subject's body composition status within his or her specific race can be assessed, thereby meeting the body composition assessment needs of different races and improving the accuracy of the assessment results.

The application relates to a similar case query method based on a cause-effect-dynamic multi-granularity, which comprises the following steps: acquiring a to-be-queried feature of to-be-queried data, inputting the to-be-queried feature into an encoder of a trained dynamic time warping kernel autoencoder, calculating the similarity between a time sequence sign feature in the to-be-queried feature and each preset typical disease process template, then mapping each similarity into a corresponding multi-granularity dynamic feature vector, aggregating all the multi-granularity dynamic feature vectors to obtain a feature vector set, and expanding the feature vector set into a single high-dimensional vector, performing cause-effect attention weighting on the high-dimensional vector through a cause-effect attention network to obtain a cause-effect weighted feature, calculating the cause-effect perception similarity between the cause-effect weighted feature corresponding to the to-be-queried data and the cause-effect weighted feature corresponding to a known case in a database, and taking the known case with the highest cause-effect perception similarity as the similar case of the to-be-queried data, so that a transparent and credible similar case query service is provided.

The application relates to a stamping and polishing process knowledge base construction method, device and equipment and a storage medium, and relates to the stamping and polishing technical field; the method comprises the following steps: constructing a first database of a stamping process knowledge base and a second database of a polishing process knowledge base; dividing the first database into a material library, a die library, an equipment library, a process database, a process parameter library and a user database, and storing product information corresponding to the stamping process into the storage libraries divided from the first database; dividing the second database into an input layer, a knowledge storage layer, an inference layer and an output layer, and storing various parameters required by the polishing process into various data layers divided from the second database. The method can realize intelligent design of a die by establishing the database of the stamping process and the database of the polishing process and extracting forming process features of various stamping parts.

The invention discloses a bridge design specialty intelligent product recommendation method and system. The method comprises the following steps: 1, establishing a bridge specialty vector knowledge base by using national and local standard specifications commonly used in bridge specialty and published by the country; 2, obtaining intentions, specialized vocabulary definitions, question questions and answers, summaries and questions from contents input by the user by using a large language model; 3, respectively executing the following steps: 3.A1, calling an Elasticsearch engine to retrieve a bridge professional database, and finding out data related to professional vocabulary definitions and corresponding summaries; 3, A2, processing the data into structured information by using a large language model in combination with the intention of the user, and answering the user according to the intention; 3, B1, processing data retrieved according to an original question by adopting a large language model, and generating structured information to answer a user in combination with a question-chasing requirement; and 3, C1, for question questions and answers, linking the vector knowledge base, and retrieving answers to answer users. The invention provides a professional tool-level support for bridge design.

The invention relates to an A beta-PET brain template construction and quantitative analysis method based on deep learning, and the method comprises the steps: obtaining a PET image preprocessed by a normal participant, namely, an A beta-PET image; performing spatial registration to MNI152, and performing intensity normalization processing, data screening and average calculation to obtain a preliminary A beta-PET brain template image; the screened A beta-PET image is registered to a preliminary A beta-PET brain template image, and a final A beta-PET brain template image is obtained through intensity normalization processing, data screening, average calculation and smoothing processing; calculating a first quantitative parameter to construct a brain amyloid protein deposition data database; and performing spatial registration on the A beta-PET image to be analyzed to the final A beta-PET brain template image, dividing a brain region, calculating a second quantitative parameter, and comparing the second quantitative parameter with the brain amyloid protein deposition data database to complete quantitative analysis. The method has the beneficial effects that a normal A beta-PET brain template data database is established, a matched quantitative amyloid protein deposition analysis process is provided for clinical use, and the registration effect and the diagnosis and treatment efficiency are improved.

The invention relates to a contact lens development database management system and method, and the system comprises a design management module which is used for receiving and processing a CAD optical design file and a parameter list uploaded by a design engineer terminal, guaranteeing the integrity of design input, and generating a unique code; the proofing cooperation module is used for sending a synchronization signal to a proofing engineer terminal based on the target design product code and the proofing requirement set, and supporting integrity verification and compliance judgment of proofing data; a difference identification module; a data archiving module; and a client interaction module. The proofing collaboration module comprises a proofing collaboration module; the task assignment unit is used for automatically assigning coded design tasks according to the state of the resource pool and generating a proofing work order containing product codes, process requirements and delivery time limit; and the state synchronization unit is used for executing a three-level redundant task synchronization protocol to ensure the strong consistency of the states of the system server, the proofing engineer terminal and the design engineer terminal.

The invention belongs to the technical field of database design, and particularly relates to an XML (Extensible Markup Language)-based aircraft consumable public library data management method and system. The method comprises the following steps: S1, in response to an insertion request of a user, constructing a first-level element for representing an aircraft consumable public library by using a first-level XML (Extensible Markup Language) component; s2, under the first-level elements, a second-level XML component is used for constructing second-level elements used for representing all consumables; and S3, under the second-level element, a third-level XML component is selectively used for editing an illustrative file corresponding to the consumable, and the third-level XML component at least comprises a speGr component used for describing a consumable specification list and an entGr component used for describing consumable supplier information. According to the method and the device, the technical data can be intelligently processed, the information retrieval and analysis efficiency is improved, and the user is helped to quickly and accurately search the required information.

The invention relates to a similar case query method based on causal-dynamic multi-granularity, and the method comprises the steps: obtaining a to-be-queried feature of to-be-queried data, and inputting the to-be-queried feature to an encoder of a trained dynamic time warping kernel auto-encoder; calculating the similarity between a time sequence sign feature in the to-be-queried feature and each preset typical disease process template, and then mapping each similarity into a corresponding multi-granularity dynamic feature vector; aggregating all the multi-granularity dynamic feature vectors to obtain a feature vector set, and expanding the feature vector set into a single high-dimensional vector; performing causal attention weighting on the high-dimensional vector through a causal attention network to obtain causal weighted features; the causal perception similarity between the causal weighted features corresponding to the to-be-queried data and the causal weighted features corresponding to the known cases in the database is calculated, the known case with the highest causal perception similarity serves as the similar case of the to-be-queried data, and transparent and credible similar case query service is provided.

According to the body composition data evaluation method, a three-dimensional human body scanner is provided, the three-dimensional human body scanner is provided with a data database, parent body data of different races are stored in the data database, then a testee inputs parameters such as races, genders, ages and weights into the three-dimensional human body scanner, and the parameters of the races, the genders, the ages and the weights of the testee are evaluated. Then the three-dimensional human body scanner scans the body of the testee to obtain the body size of the testee, the three-dimensional human body scanner obtains measurement data according to the obtained body size and the parameters input by the testee, and finally the measurement data of the testee and the parent data of the data database are analyzed and compared. Therefore, the body composition condition of the testee in the race to which the testee belongs can be evaluated, so that the body composition evaluation requirements of different races are met, and the accuracy of the evaluation result is improved.

According to the evaluation method, firstly, a bioelectrical impedance analyzer is provided, the bioelectrical impedance analyzer is provided with a data database, parent data of different races are stored in the data database, and then a testee inputs parameters such as races, genders and ages into the bioelectrical impedance analyzer; then, the bioelectrical impedance analyzer obtains measurement data according to the height and weight of the testee and parameters input by the testee, and finally, the bioelectrical impedance analyzer analyzes and compares the measurement data of the testee with parent data of the data database, so that the body composition condition of the testee in the race can be evaluated. Therefore, the body composition evaluation requirements of different races are met, and the accuracy of evaluation results is improved.

The invention discloses a thematic report generation method and system oriented to science and technology intelligence, and belongs to the field of natural language processing and intelligence, and the thematic report generation method comprises the following steps: S1, collecting science and technology related text data according to science and technology field type keywords, and constructing a basic database; s2, generating a report title by using a large language model according to a report type, a related field and a style specified by a user; s3, screening out contents related to the report required by the user from the basic database by using a large language model as support materials and classifying the support materials; s4, generating a thematic report directory based on the screened support materials and report titles; and S5, generating the paragraph content of the thematic report based on the screened support material, the report title and the catalog. According to the invention, the problems of low efficiency, insufficient customization and poor flexibility in the process of generating the science and technology intelligence thematic report in the prior art are solved.

Disclosed is an assessment method for body composition data, which comprises the following steps: (S1) providing a bioelectrical impedance analyzer (10), the bioelectrical impedance analyzer (10) being provided with a database (20), and the database (20) storing reference data (22) of different races; (S2) inputting, by a subject (80), a plurality of parameters in an input unit (30) of the bioelectrical impedance analyzer (10), the parameters comprising race, gender, and age; (S3) acquiring, by a data construction unit (40) of the bioelectrical impedance analyzer (10), measurement data (82) of the subject (80) according to the height of the subject (80), the weight of the subject (80), and the parameters input by the subject (80) in step (S2); and (S4) analyzing the measurement data (82) of the subject (80) and comparing the data with the reference data (22) in the database (20) by a data analysis unit (50) of the bioelectrical impedance analyzer (10), so as to assess the body composition status of the subject (80) within his or her specific race, thereby meeting the body composition assessment needs of different races and improving the accuracy of the assessment results.

The invention relates to a child PET brain template construction and quantitative analysis method. The method comprises the following steps: acquiring a preprocessed PET image of a normal participant of a child; performing spatial registration on the PET image to CHN-PD, performing intensity normalization processing and data screening, and performing average calculation to obtain a preliminary child PET brain template image; performing spatial registration on the screened PET images to the preliminary child PET brain template image, and performing intensity normalization processing, data screening, average calculation and smoothing processing to obtain a final child PET brain template image; after the PET image is subjected to space registration to a final child PET brain template image and a brain region is divided, a first quantitative parameter is calculated to be used for constructing a brain metabolism data database; and after performing spatial registration on the child PET image to be analyzed to the final child PET brain template image and dividing a brain region, calculating a second quantitative parameter and comparing the second quantitative parameter with the database for quantitative analysis. The method has the beneficial effects that a normal children brain metabolism data database is established, a matched quantitative metabolism analysis process is provided for clinical use, and the registration effect and the diagnosis and treatment efficiency are improved.

The present application relates to a method, apparatus, computer equipment and storage medium for pushing a remote training program. The method includes: obtaining cognitive function assessment information and medical related information sent by a first terminal; the cognitive function assessment information is obtained by a first user performing a remote assessment on the first terminal; the medical related information includes medical image information and biological data information; determining abnormal stage information based on the cognitive function assessment information and medical related information; determining a training program that matches the abnormal stage information based on a variety of training materials in a database, wherein the training program includes training materials related to multiple cognitive domains; pushing the training program to the first terminal for the first user to perform training operations according to the training program. This method can automatically recommend appropriate assessment and training programs to users, realize remote cognitive assessment and training, and enable users to complete home training without the aid of special medical equipment.