14 results about "Capacity assessment" patented technology

The invention relates to the technical field of intelligent education, in particular to an AI-based nursing teaching scene construction and evaluation system. According to the system, a dynamic case script is generated through historical case data, and a virtual patient physiological model is constructed; creating three teaching scenes of community follow-up visit, emergency rescue and traditional Chinese medicine nursing fusion by using a mixed reality technology; a personalized learning portrait of the student is constructed through a pre-test, and accurate matching between the ability of the student and the teaching content is formed; a double-track system skill training module is built, and AI tutor guidance and teacher guidance are integrated; and an ability evaluation system based on operation data is established, and intelligent pushing of adaptive training content is realized. The problems that in traditional nursing teaching, scene authenticity is insufficient, personalized training is insufficient, and clinical thinking is difficult to cultivate are solved, and the clinical operation skill and decision judgment ability of students are improved.

The invention provides a large language model evaluation set automatic generation method and device, equipment and a medium. Professional documents related to keywords are searched in a retrieval enhancement generation mode, key questions are automatically analyzed from retrieved content, answers are given, original questions do not need to be manually input to serve as starting conditions, the labor cost is reduced, and the efficiency is improved. And meanwhile, large-scale non-tagged corpora in the scheduling field can be utilized, so that the coverage degree of knowledge investigation in the professional field is improved. When the problem is not appropriate, new problem data can be generated in batches instead of rewriting the original problem, so that the problem diversity is further improved. The problem data generation process is based on knowledge points in a keyword form, so that the accuracy and focus of subjects are ensured, and the randomness of large language model generation is avoided. After the keyword is input, the assessment set can be generated in batches by an automatic means, a benchmark is provided for capability assessment in the scheduling large model training and fine tuning process, and the model development and test efficiency is improved.

The invention relates to an elderly self-care ability assessment method and system, electronic equipment and a storage medium, and relates to the technical field of smart pension, and the self-care ability assessment method comprises the steps: obtaining the physical condition of a supervision object according to a physical examination report and a figure posture image, and generating a body health state table; according to the psychological health test table, the home audio set and the key behavior mode, quantifying the psychological state of the supervised object to obtain a psychological health state table; according to the life behavior indexes, daily life habits of the supervision object are obtained, and a social health state table is generated; according to the body health state table, the psychological health state table and the social health state table, constructing personal portrait information of the supervised object in combination with drug compliance; adopting a self-care evaluation model to judge the self-care ability level of the supervised object according to the personal portrait information; the overall evaluation process is simplified, the information evaluation efficiency and the evaluation accuracy are improved, and the personalized service matching accuracy is improved.

This application provides a method for finding employees based on OKRs, an electronic device, a storage medium, and a program product, relating to the field of computer technology. This method integrates OKR data with departmental responsibility data into user job description data. It constructs a multi-level matching optimization logic around the employee search request, from initial matching degree to revised matching degree and then to target matching degree, combining accuracy, timeliness, and practicality tailored to actual enterprise collaboration. This method abandons the drawbacks of traditional employee search methods that rely on static information, incorporating OKR data reflecting employees' current work priorities into the core matching dimension. This ensures that the personnel matching results highly align with the enterprise's real-time business needs, fundamentally improving the matching degree. Simultaneously, by adjusting the initial matching degree through capability assessment parameters, it optimizes the matching results based on employees' actual ability levels. Furthermore, by combining organizational structure hierarchy to determine the target matching degree, it fully considers the characteristics of internal collaboration levels, optimizes collaboration paths, reduces trial-and-error costs and communication costs in cross-departmental and cross-position collaboration, thereby improving the accuracy of recommendation results.

The invention discloses a petrochemical enterprise emergency capability assessment method and system based on weight iteration, and relates to the technical field of oil and gas fields, oil refining and chemical engineering, and the method comprises the steps: S1, defining a user role, creating an assessment scheme, and distributing an assessment task; s2, constructing an enterprise emergency capability evaluation system; the evaluation system comprises evaluation elements, organization levels, secondary evaluation indexes, evaluation items and weights; s3, carrying out quantitative scoring and problem description according to the typical problem library and the evaluation task; s4, obtaining scores according to evaluation item scores given by experts, evaluation elements, organization levels, secondary evaluation indexes, evaluation items and weights; the score comprises an evaluation factor score under a certain organization level, an evaluation factor score under an enterprise level and an enterprise overall emergency capability evaluation score. According to the method, quantitative evaluation of the overall emergency capability of the enterprise is finally realized through quantitative evaluation of the underlying elements and layer-by-layer weight iteration.

The invention relates to the technical field of endowment service evaluation, in particular to a family endowment ability evaluation method, device, equipment, medium and program, and the method comprises the steps: inputting life condition data, nursing support data and emotion support data into a trained target language model, calling a pre-established service evaluation system by the target language model, mapping the life condition data, the care support data and the emotion support data to pre-established evaluation indexes in a family old-age care ability evaluation system, and calculating a quantitative score of the corresponding evaluation index according to mapping data corresponding to each evaluation index; and identifying a weight corresponding to each evaluation index, and generating a family old-age care ability evaluation result according to the quantitative score of each evaluation index and the corresponding weight. Therefore, the problems of low data processing efficiency, one-sided evaluation dimension, insufficient evaluation result precision, large error and the like caused by a manual evaluation mode in related technologies are solved.

The invention discloses a pre-job vocational ability assessment training recommendation system, which comprises a multi-source data acquisition module, an ability assessment engine, an intelligent recommendation module and a closed-loop verification module, and relates to the technical field of job seeker employment ability assessment and training recommendation. According to the system, dynamic acquisition of user capability data is realized through the multi-source data acquisition module, the limitation of traditional static evaluation is broken through, the evaluation result is more comprehensive and accurate, meanwhile, the introduction of a capability evaluation engine sets a clear capability threshold value, training recommendation can be automatically triggered, and the training efficiency is improved. According to the method and the system, a personalized training scheme is provided for the user with the value lower than the threshold value, the vocational ability of the user is effectively improved, the structural failure phenomenon is effectively relieved, the configuration and utilization of training resources are optimized, and the method and the system play a positive role in promoting the healthy development of talent training and employment markets.

The invention relates to the technical field of medical nursing, discloses a nurse hierarchical management system for gynecological nursing management, and aims to scientifically and objectively evaluate the nurse ability and perform task allocation and personalized training according to the nurse ability. The system comprises a nurse information input module used for collecting nurse basic information and the like; the ability evaluation module is used for constructing a model to evaluate professional skills and comprehensive ability of nurses; the task distribution module is used for matching according to the ability evaluation result and the nursing task requirement; the training suggestion module is used for providing personalized training suggestions by adopting a decision tree algorithm; and the performance management module is used for performing performance evaluation according to the task completion condition and the training progress. According to the system, through data analysis and an optimization algorithm, reasonable distribution of nurse resources is realized, the nursing quality is improved, the growth requirements of different nurses are met, and a scientific and efficient solution is provided for gynecological nursing management.

The invention relates to the technical field of intelligent decision, and discloses a strategy generation method and device based on a large model, computer equipment and a medium, and the method comprises the steps: building a dynamic scoring mechanism; calculating a target dynamic score according to a dynamic scoring mechanism and the target user information; and generating a capability improvement strategy according to the strategy generation model and the target dynamic score. Through the above mode, various key capabilities of business personnel are comprehensively covered through the multi-dimensional business capability model, and the limitation of traditional single-dimensional evaluation is avoided. Each single-dimensional index score of a target user is calculated through a dynamic scoring mechanism, weak ability items of business personnel are accurately positioned, a strong-pertinence ability improvement strategy is generated according to a preset strategy generation model and a target dynamic score, and the method and the device have great significance in the business fields of financial science and technology, medical health, old-age care and the like. And the accuracy of performing capability evaluation on the business personnel and providing a capability improvement strategy in a targeted manner by the business personnel evaluation system is improved.

The invention, which relates to the technical field of financial risk analysis, discloses a dynamic assessment and risk early warning method and system based on a non-performing asset repayment capability, comprising the following steps: performing real-time dynamic acquisition and standardized adaptation to obtain cross-domain heterogeneous data; executing deep analysis on the obtained multi-source heterogeneous data, and performing structured fusion processing; constructing a repayment capability evaluation model based on the dynamic characteristics and the adaptive weight and optimization iteration thereof; scene risk early warning and dynamic threshold optimization are carried out based on the subdivided customer groups; and executing data security and compliance auditing guarantee throughout the whole process. The problems that in the prior art, evaluation results are lagged due to the fact that the repayment capacity of the unfavorable assets depends on historical static data, early warning accuracy is low due to the fact that a unified risk threshold value is adopted, risk disposal efficiency is low due to system architecture splitting, and overall limitation is high are solved.

The invention discloses a lawyer performance assessment method and system based on indexing. The method comprises the following steps: 1) selecting a plurality of data sources used for evaluating the law enforcement ability, and setting the weight of each data source; data of the data sources are associated and fused with lawyer license numbers or lawyer names, and a database based on personal basic information, lawyer license qualification information, lawyer complaint case information and media list information is formed; 2) establishing a multi-level index system for evaluating lawyer performance; comprising four dimensions of case handling conditions, customer portraits, case handling quality and case handling strategies, and each dimension comprises multiple levels of indexes; and 3) for a to-be-assessed lawyer, extracting an index value of the to-be-assessed lawyer from the basic database based on the multi-level index system, and calculating to obtain a quantitative assessment value of the performance ability of the to-be-assessed lawyer. According to the method, a scientific, objective, comprehensive and personalized evaluation framework is provided for the law enforcement ability of lawyers.

The application relates to a personnel safety behavior ability evaluation method, device, equipment and medium. The method comprises the following steps: adaptively extracting a steady-state baseline reflecting long-term stable ability of an individual from historical behavior data through a time series decomposition technology, updating a floating baseline reflecting short-term state fluctuation based on context clustering, calculating deviation degrees of real-time data and the two baselines, generating a personnel safety behavior ability evaluation result according to a combination relationship between the two deviation degrees and multiple thresholds. The method can effectively overcome the false alarm and missed alarm problems caused by ignoring individual differences and state dynamics in the traditional fixed threshold method, improve the accuracy, interpretability and practicability of the evaluation result, and provide adaptive intelligent decision support for personnel safety management in a high-risk operation environment.

The application discloses a kind of based on the anti-falling early warning system of old person internal capacity evaluation, it is related to intelligent health monitoring technical field, including data acquisition module, acceleration data and angular velocity data and camera image data in the walking process of old person near the edge of narrow corridor carpet are collected by multimodal sensor, initial multi-source signal sequence is formed by fusion data to obtain preliminary risk feature set, feature extraction module, according to preliminary risk feature set using convolutional neural network extracts spatial features, separates sequence from acceleration data and angular velocity data Dynamic stage change mode is determined phase separation sequence;The anti-falling early warning system based on the old person internal capacity evaluation, realizes the continuous balance monitoring and individualized intervention under dynamic environment, effectively reduces the risk of falling of old people.

The embodiment of the invention provides a model-based data processing method and device, equipment, a medium and a product, and belongs to the technical field of data processing. The method comprises the following steps: acquiring mechanism characteristic data of a plurality of insurance mechanisms; inputting the mechanism characteristic data into a pre-trained risk bearing capability evaluation model to obtain a risk bearing capability index corresponding to each insurance mechanism; according to the risk bearing capability index, performing differential threshold setting on the plurality of insurance institutions to obtain a reinsurance over-claim threshold corresponding to each insurance institution; the reinsurance over-claim threshold value is used for representing the maximum claim payment resource quantity of the insurance institution in the preset insurance claim payment scene; and determining the compensation proportion of each insurance institution in a preset insurance compensation scene according to the reinsurance over-claim threshold value. According to the embodiment of the invention, the accuracy of determining the reinsurance over-claim scheme can be improved.