13 results about "Physician Data Query" patented technology

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.

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 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 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.

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 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.

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.