10 results about "Index score" patented technology

The invention relates to a medical equipment fault prediction method and system based on multi-index fusion, and relates to the technical field of medical equipment fault prediction, and the method comprises the steps: collecting and associating multi-source heterogeneous operation data of target medical equipment; reversely analyzing and labeling event influence intervals in the time sequence dynamic monitoring data, and constructing a labeled time sequence data set of equipment state evolution; constructing a multi-task fusion prediction model; acquiring latest time sequence dynamic monitoring data in real time, inputting the latest time sequence dynamic monitoring data into the multi-task fusion prediction model, and synchronously acquiring an output future equipment comprehensive state index attenuation gradient prediction value and a discrete event occurrence probability prediction value; a fusion prediction score is calculated and a preventive maintenance alert is generated when a dynamically adjusted decision threshold is exceeded. The problems of high false alarm rate and insufficient early warning accuracy caused by the fact that traditional medical equipment fault early warning adopts a single judgment basis and related multi-class data are not integrated are solved.

The invention provides a personnel portrait construction method and system based on a multi-dimensional talent evaluation model, and belongs to the technical field of human resource management and data processing, and the method comprises the steps: collecting the original data of talents, constructing a tree-level comprehensive quality index system, and outputting the index score vectors of the talents; performing dimension reduction processing on the original data to extract key features, calculating objective weights of the key features, and outputting weight vectors; inputting the key features and the weight vectors into a random forest machine learning model to calculate a preliminary evaluation score; on the basis of the key features, an analytic hierarchy process is adopted to calculate expert correction scores; integrating the two scores to calculate a comprehensive evaluation score, and constructing a personal portrait based on the index score vector, the comprehensive evaluation score and the key features; and updating the personal portrait, monitoring the index score vector or the comprehensive evaluation score, and generating growth early warning information for the talents meeting the early warning conditions. According to the method, multi-dimensional data are integrated, the weight is objectively calculated, and the portrait is dynamically updated.

The invention relates to the technical field of information security, in particular to a penetration test effect evaluation method and system based on an attack mode framework, and the method comprises the steps: firstly, constructing an evaluation model comprising a target layer, a criterion layer and an index layer; the evaluation indexes under each criterion are weighted through a large language model, and the indexes are quantitatively scored by experts. And for each criterion, on the basis of a grey theory, calculating a comprehensive evaluation vector of the criterion by using index scores, weights, a preset comment set and a whitening weight function so as to obtain a quantitative score and a qualitative evaluation result. And finally, calculating a final comprehensive evaluation result of the target layer by integrating the quantitative score vectors and the criterion weights of all the criteria. During decision making, the final result needs to be combined with the qualitative evaluation conclusion of each criterion so as to formulate a comprehensive and targeted security reinforcement strategy. According to the invention, the accuracy of penetration test effect evaluation is improved.

The invention discloses a dynamic weight-based zero-value adaptive zero-carbon power supply station evaluation method and system, and the method comprises the steps: firstly constructing a multi-dimensional index framework system, and collecting historical data to construct an index core set; dividing two types of data sets, and calculating the subjective weight and reliability of each index; calculating zero-value structure parameters and separating non-zero samples according to the two types of data sets to obtain PCA basic weights, calculating double-cluster fusion entropy and credibility and calibrating objective weights in combination with traditional entropy and missing rate penalty factors, calculating dynamic fusion coefficients and fusing subjective and objective weights based on subjective reliability to obtain final weights, and finally obtaining the final weights of the double-cluster fusion entropies and the credibility of the double-cluster fusion entropies and the credibility of the double-cluster fusion entropies and the credibility of the double-cluster fusion. And performing weighted summation to obtain an index score, and evaluating the power supply station according to the index score. According to the method, the problem of weight distortion caused by zero value interference in a traditional evaluation method is effectively solved through targeted distinguishing processing on zero values, a dynamic adjustment mechanism based on index characteristics is constructed, accurate adaptation of subjective and objective weights is achieved, and the accuracy and robustness of an evaluation result are improved.

This invention provides an early warning system for critical care nursing in internal medicine based on multi-parameter monitoring, belonging to the field of early warning system technology. It includes: a vital sign monitoring module for real-time collection of the patient's vital sign factors, taking the average value of the amplitude of each real-time vital sign factor as a benchmark reference value; a similarity early warning analysis module for establishing a mathematical model of the patient's self-monitoring, calculating the early warning similarity index corresponding to each real-time vital sign factor; calculating a reliability index by comparing the total short-term change value with the overall average change value of each real-time vital sign factor; and an early warning decision module for establishing two mechanisms to determine early warnings. This invention extracts various parameters from the patient's past multiple disease occurrence points and calculates the average value, and collects the median value of the disease occurrence point with the largest interval as a reference benchmark value, forming a unique benchmark reference value; thus, the abnormality judgment is entirely based on individual physical differences and historical response patterns, solving the problem of misjudgment due to uniform standards caused by physical differences.

The invention discloses a pharmaceutical manufacturing enterprise emergency management capability evaluation index system and an evaluation method, and belongs to the technical field of enterprise safety management. The method comprises the following steps: constructing an emergency management capability evaluation index system comprising a target layer, a criterion layer and an index layer, wherein the criterion layer covers dimensions such as an organization system, disposal drill and training guarantee; scientifically calculating the weight of each index based on an attribute hierarchy model (AHM); enterprise data is collected to score the indexes; performing weighted calculation to obtain a comprehensive evaluation value and a score of each level of dimension; weak links are identified based on results, and targeted improvement suggestions are generated. According to the invention, systematized, quantitative and precise assessment of the emergency management capability of the pharmaceutical manufacturing enterprise is realized, the defects of strong subjectivity, single dimension and weak diagnosis function of the existing method are effectively overcome, and a scientific decision tool is provided for the enterprise to improve the emergency management level.

The application is suitable for the field of intelligent interaction technology, and provides an intelligent interaction question and answer method and system based on medical literature.The application identifies the identity of the interactive personnel, constructs a temporary literature sub-library, carries out interactive question and answer, extracts multiple keywords, searches in the temporary literature sub-library, initially arranges multiple related medical literatures, records the interactive browsing information of the interactive personnel, identifies multiple associated words, calculates multiple associated optimization indexes according to the multiple keywords and the multiple associated words, and optimally arranges the multiple related medical literatures.After the initial arrangement of the multiple related medical literatures, the interactive browsing information is recorded, the multiple associated words are identified, the multiple associated optimization indexes are calculated, the multiple related medical literatures are optimally arranged, the dynamic perception of the subsequent interactive browsing of the interactive personnel and the adaptive adjustment of the arrangement display are realized, and the efficiency and accuracy requirements in the medical interactive question and answer scene are ensured.

The invention discloses a scoring rule formula generation method, system and device and a storage medium. The scoring rule formula generation method comprises the steps that S1, index scoring rule content in a natural language form input by a user is received; s2, analyzing and processing the content of the index scoring rule by adopting a natural language processing algorithm and a model, and extracting key information; s3, according to the key information and a preset rule, generating a scoring rule formula which can be analyzed by a computer; s4, performing grammar check and optimization on the scoring rule formula; and S5, outputting the optimized scoring rule formula to a back-end system, and applying the scoring rule formula to a scoring calculation process. By adopting the method, automatic, efficient and accurate generation of the scoring rule formula is realized, manual errors are reduced, the formula format is unified and standardized, and the method is suitable for making the multi-scene scoring rule.

The invention relates to the technical field of education data analysis and artificial intelligence, in particular to a big-data-driven improved regression model student score real-time prediction method, which comprises the following steps of: acquiring multi-source data such as historical scores, learning behaviors, knowledge point difficulty and staged tests of students, constructing basic characteristics such as learning investment, learning effect and stability, and constructing a real-time prediction model; and according to rules of normalization, logarithmic attenuation, saturation mapping, confidence interval scaling and the like, multi-class cross features are generated. By calculating the importance mean value and variance of the features in different student groups, a consistency index is constructed to realize cross-group feature stability screening, and redundant features are suppressed in combination with feature correlation. And training a regression prediction model fused by the tree model and the neural network based on the screened features, and executing incremental updating when newly added data exceeds a threshold value, thereby realizing real-time score prediction and risk prompt. The method can significantly improve prediction accuracy and model robustness, and is suitable for online education and intelligent teaching systems.

The invention provides a response capability evaluation method and device for emergency operation of a ship power system, and relates to the technical field of analogue simulation, and the method comprises the steps: extracting a multi-system coupling fault chain through fault association mining based on a historical accident database and an equipment failure case, and constructing a typical fault mode scene library; establishing a multi-dimensional capability evaluation index system through the typical fault mode scene library; the method comprises the following steps: collecting multi-source emergency operation data in a simulation evaluation and real ship drilling environment, and calculating an index score based on a quantitative formula of a multi-dimensional capability evaluation index system; and multi-dimensional index scores are comprehensively calculated, and a clustering algorithm is adopted to execute type identification, so that a visual evaluation result can be generated. The method can achieve the quantitative analysis of the response capability of the emergency operation of the ship power system.