86 results about "Objective assessment" patented technology

The invention relates to the technical field of construction progress monitoring, and discloses a construction progress monitoring method and system based on big data. The method comprises the following steps: forming a space-time alignment data set through multi-source data acquisition, filtering and quality evaluation; performing feature extraction and registration to generate a digital model; target detection classification is performed to form a completion state table; progress evaluation is achieved through component-task mapping; trend analysis and risk identification are performed to generate a prediction result; decision reference is provided for personalized information screening and augmented reality display. Through multi-source data acquisition, fusion and intelligent analysis, accurate perception, objective evaluation, scientific prediction and visual presentation of the actual state of the construction site are realized, so that a comprehensive, accurate and prospective construction progress monitoring method is provided, the construction period delay risk is effectively reduced, and the construction management efficiency is improved.

The invention relates to the technical field of skin disease diagnosis, and discloses an AI auxiliary decision support system for skin disease diagnosis, which integrates an image acquisition module, an image analysis module and a comprehensive analysis and diagnosis decision module. A high-definition image of the skin of a patient is obtained through high-precision skin photographing equipment, and a training data set is formed by combining basic information of the patient. A deep learning algorithm is utilized to train a skin disease recognition model and an illness state evaluation model, and accurate recognition of skin disease types and objective evaluation of severity are realized. And the comprehensive analysis module fuses output of the two models, constructs a fusion decision model and provides comprehensive diagnosis suggestions. And the diagnosis decision module is used for generating a disease type judgment and illness state evaluation report based on the trained model in combination with real-time image data so as to effectively assist doctors in making decisions. The accuracy, the efficiency and the popularization degree of skin disease diagnosis are improved, and complex and changeable diagnosis requirements in clinical practice are met.

The invention provides a telecommunication service fraud-related risk security assessment system based on a multi-modal fusion model, and the system comprises a multi-source data collection assembly which is responsible for obtaining original telecommunication service data in multiple ways, carrying out the preprocessing of the original telecommunication service data, and obtaining first telecommunication service data; performing feature extraction and behavior pattern analysis on the first telecommunication service data to obtain key features related to the telecommunication service; the assessment model construction component is responsible for constructing a fraud-related risk assessment model based on machine learning, inputting the key features into the fraud-related risk assessment model, outputting an intelligent assessment control matrix, classifying and rating fraud-related risks, and generating a risk assessment result; and the service collaborative linkage assembly is responsible for early warning the risk level of the telecommunication service system according to the risk assessment result, and taking prevention measures according to the risk level. According to the method, an objective evaluation standard is established, and the conversion of risk identification from experience judgment to data driving is realized.

Techniques are disclosed for automatically generating Subjective, Objective, Assessment and Plan (SOAP) notes. Particularly, techniques are disclosed for training data collection and evaluation for automatic SOAP note generation. Training data is accessed, and evaluation process is performed on the training data to result in evaluated training data. A fine-tuned machine-learning model is generated using the evaluated training data. The fine-tuned machine-learning model can be used to perform a task associated with generating a SOAP note.

The invention discloses a personalized child postoperative pain management method and system, and relates to the technical field of pain management. A personalized child postoperative pain management system comprises a data acquisition module, a development evaluation module, a sample management module, a pain evaluation module, a scheme matching module and a feedback adjustment module. According to the invention, by combining objective assessment and subjective assessment, comprehensive acquisition and integration of multi-dimensional data are realized, and the accuracy of pain assessment is greatly improved; through psychological development and physiological development stage evaluation, weighted analysis is carried out on patients, it is ensured that individual characteristics of children are fully considered in a pain evaluation result and a management scheme, and the pertinence and scientificity of pain management are remarkably improved.

The invention provides an intelligent automobile test case automatic generation and evaluation system, device and product, and relates to the technical field of intelligent automobile test.According to the system, domain knowledge support is provided through a test knowledge base, and a demand understanding module is combined with a fine-tuning large model to deeply analyze demands; function points are extracted, and hidden scenes such as sensor faults and multi-system cooperation are identified; the test case generation module is based on a special prompt template and few-sample learning, a complete case containing elements such as purposes, steps and data is generated by fusing a vehicle model configuration library, and the specialty and the performability are ensured; and the evaluation module realizes objective quality evaluation through multi-dimensional quantitative scoring of demand coverage rate, scene integrity, risk coverage degree, normalization and the like. All the modules cooperate to realize intelligent generation and system evaluation of test cases, and the automation level, coverage range and reliability of intelligent automobile testing are improved.

The invention belongs to the field of aviation simulation training, and discloses a carrier landing command simulation training objective evaluation system and method suitable for approaching distance. The carrier landing command simulation training objective evaluation system comprises an automatic flight control simulation program, a scene simulation program and an objective evaluation program, the automatic flight control simulation program further comprises a flight simulation program and a pilot simulation program, and the scene simulation program further comprises a three-dimensional scene simulation program and an operation page simulation program. The objective evaluation program further comprises a carrier landing command training evaluation standard set, a carrier landing command training evaluation weight factor library and a carrier landing command training calculation matrix. According to the invention, objective evaluation of the carrier landing commander in daily training of the carrier landing commander training simulator can be supported.

The invention relates to a social action completion degree evaluation method and system based on action segmentation, and the method comprises the steps: guiding a user to make a plurality of evaluation actions, and collecting the user action data flow of each evaluation action; for each evaluation action, extracting action judgment data of each frame in the corresponding user action data stream; and for each evaluation action, calculating an evaluation index according to the action label of each corresponding frame, and outputting the evaluation index. According to the invention, through formulating the assessment process of the system, the demand for rehabilitation professionals is reduced, and the problems that the assessment professionals are insufficient and human resources are consumed due to manual assessment, and the result of manual assessment is often based on the subjective feeling of the professionals and lacks specific and objective assessment indexes are avoided.

A system for generating objective assessment criteria of social skills, comprising a speech to text system receiving audio data and converting the audio data into text data for a first speaker and a second speaker, a dialog management system processing text data for the first speaker and text data for the second speaker generating a strategic attention score for the first speaker based on responsiveness of the text data of the first speaker to text data of the second speaker, and a response verification system generating a user control for the strategic attention score and receiving feedback data from the second speaker to accept or modify the strategic attention score.

The invention relates to the technical field of rehabilitation assessment, in particular to an orthopedic rehabilitation system and a rehabilitation assessment method based on data feedback, comprising the following steps: training a classifier by using a first single-mode data set formed by myoelectricity feedback data and corresponding rehabilitation status labels to obtain a first single data model of orthopedic rehabilitation assessment; a classifier is trained according to a second single-mode data set formed by the bone image data and the corresponding rehabilitation condition labels, and a second single-data model of orthopedic rehabilitation evaluation is obtained; and respectively carrying out transfer learning on the orthopedic rehabilitation assessment second single data model and the orthopedic rehabilitation assessment first single data model to obtain an orthopedic rehabilitation assessment multi-data model. According to the method, the orthopedic rehabilitation assessment multi-data model is constructed, objective assessment of orthopedic rehabilitation conditions is completed according to objective data such as the myoelectricity feedback data and the skeleton image data of the assessment object, the intelligent degree of assessment can be improved, and the assessment efficiency can be improved.

The invention relates to the technical field of data processing, in particular to a construction method and system for a neural rehabilitation evaluation model. The method comprises the following steps: acquiring multi-modal data of a neurological rehabilitation patient; performing feature extraction according to the multi-modal data of the neurological rehabilitation patient to obtain multi-modal feature data of the neurological rehabilitation patient; performing data classification on the multi-modal feature data of the neurological rehabilitation patient to obtain multi-modal feature classification data; and marking the multi-modal feature data of the neurological rehabilitation patient by using the multi-modal feature classification data to obtain multi-modal feature marking data of the neurological rehabilitation patient so as to carry out neurological rehabilitation evaluation model construction auxiliary work. According to the method, the model capable of comprehensively and objectively evaluating the rehabilitation progress of the neurological rehabilitation patient is constructed in an auxiliary manner, so that a scientific basis is provided for rehabilitation treatment.

The invention relates to the technical field of intelligent assessment management, and discloses an assessment method for a virtual maintenance training process, and the method comprises the following steps: collecting real-time operation data in the maintenance training process through a virtual reality device, and the real-time operation data comprises a gesture track, a tool use sequence and an environment interaction log; performing noise filtering and format unification processing on the real-time operation data to generate a standardized operation data stream; key operation nodes in the standardized operation data flow are extracted based on a maintenance knowledge graph, and operation feature vectors are generated; according to the invention, systematic fusion and standardization processing are carried out on multi-source heterogeneous real-time operation data, and an objective evaluation benchmark is constructed based on a maintenance knowledge graph, so that comprehensive quantification and description of an operation process can be realized; the problems that the evaluation dimension is single and the real skill level is difficult to comprehensively reflect due to the dependence on subjective judgment and a single index are solved, and the objectivity and comprehensiveness of assessment are improved.

The invention provides a hemodialysis patient risk assessment system based on an objective assessment method, and relates to the technical field of medical data, and the system comprises a performance assessment unit which is used for collecting the clinical basic information of a hemodialysis patient, calculating a nutrition state index through the objective assessment method, and determining the performance of the hemodialysis patient; evaluating the evaluation efficiency of the objective evaluation method on the nutrition state indexes by using the subject working characteristic curve; the model construction unit is used for constructing a risk assessment model of the hemodialysis patient by utilizing a matter-element extension variable weight theory and a data fusion technology based on the efficiency assessment result; and the risk assessment unit is used for performing individual risk assessment on the hemodialysis patient by using the risk assessment model of the hemodialysis patient to obtain a risk assessment result. According to the method, efficient medical resource allocation, early recognition of high-risk patients, reduction of complications, improvement of patient prognosis and fusion of multiple technologies and theories are facilitated, and the innovativeness and flexibility of an evaluation system are improved.

The invention provides a fatigue assessment method and device based on cardiac autonomic neurodynamics and brain coupling analysis, and the method comprises the steps: extracting time-varying CPI and CSI features representing cardiac autonomic neurodynamics features through a PRSA technology, carrying out the coupling analysis through different frequency bands of CPI, CSI and EEG, and carrying out the comprehensive, accurate and objective assessment of fatigue. On the basis of overcoming the defects of strong subjectivity and poor real-time performance of a subjective scale, through second-level dynamic quantization of sympathetic nerve and parasympathetic nerve activity states and brain activity coupling states, the limitation of traditional pure dependence on EEG or ECG spectral analysis and a static IPFM model can be effectively solved; the comprehensive and objective evaluation precision of the fatigue severity under the complex physiological state is improved, and the dynamic real-time monitoring requirement of the fatigue state is met.

The device (1) is used to determine insomnia in a patient (8). It has a sensor unit (2) for recording at least one EEG measurement signal of a brain wave of the patient (8) and a control and evaluation unit (3) for evaluating the recorded EEG measurement signal. The control and evaluation unit (3) is configured to carry out an objective assessment routine and in doing so, for the subsequent recording of the EEG measurement signal, to give the patient (8) a stipulation to open his eyes for the duration of an eyes-open period and to close his eyes for the duration of an eyes-closed period, and then to initiate the recording of the EEG measurement signal during at least one eyes-open period and during at least one eyes-closed period. The control and evaluation unit (3) is further configured to perform an evaluation of the EEG measurement signal thus recorded and in doing so to extract from the EEG measurement signal at least one first partial measurement signal from the at least one eyes-open period and at least one second partial measurement signal from the at least one eyes-closed period, and to decide on the presence of insomnia if the at least one second partial measurement signal from the at least one eyes-closed period has a lower proportion of α waves than in a healthy individual.

The present disclosure describes systems and methods for assessing heart and respiratory disorders in a patient using a video analysis tool to analyze video data taken of the patients neck region. The video analysis tool allows for an accurate, objective assessment of the patient. In some aspects of the present disclosure, a clinician may capture video data of the patients neck region and run the video analysis tool. Additionally or alternatively, the system may be implemented remotely whereby the video analysis tool may be executed remotely from the video recording device. The video analysis tool extracts pulsatile signals in the neck region from the video data and determines pulsatile signals of interest for assessing heart and respiratory disorders in the patient. The video analysis tool generates assessment data based on the pulsatile signals of interest.

The utility model discloses a device for assassination training assessment, which relates to the technical field of assassination training, including a human-shaped target, a plurality of vital areas formed on the human-shaped target, a sensing component arranged on the vital area, the sensing component connected with a processor and a display, the sensing component including an outer layer, an installation area formed between the outer layer and the human-shaped target, a first sliding groove and an inner cover body arranged in the installation area, a contact area formed between the inner cover body and the human-shaped target, a first elastic part arranged in the contact area, a second sliding groove and a sensing cover arranged in the contact area, a sensing area formed between the inner cover and the human-shaped target, a pressure sensor arranged in the sensing area, a contact head facing the pressure sensor arranged on the inner wall of the sensing cover, a second elastic part arranged in the sensing area, the pressure sensor electrically connected with the processor, and the processor connected with the display. The utility model has the advantages of stable and reliable training, real-time feedback and objective assessment.

This invention proposes a method for assessing the resilience of heavy platforms based on the DA-PSR model and complex networks. Taking heavy platforms as the object, an objective resilience assessment system is constructed. An assessment index system with causal relationships is established, and a screening method for the assessment index system based on node betweenness values ​​in complex network theory and the k-means algorithm is proposed. This results in a simplified assessment index system where the remaining node betweenness values ​​account for 52.99% of the total betweenness values ​​and the remaining cluster center values ​​account for 90.55% of the total cluster center values. An index weighting method based on mutual information theory and an index calculation method based on extreme damage quantification are proposed. The PSR framework theory is improved through dimensional analysis, and a resilience DA-PSR assessment model is constructed. Considering the performance requirements driven by tasks, a criterion quantification and dynamic grading method based on task requirements is proposed. The assessment shows that a heavy platform with a resilience assessment value of 0.7373 exhibits different assessment levels of "excellent," "medium," and "poor" under different tasks.

The present invention provides a hemodialysis patient risk assessment system based on an objective assessment method, which relates to the field of medical data technology and includes: an effectiveness assessment unit for collecting basic clinical information of hemodialysis patients, calculating nutritional status indicators through objective assessment methods, and evaluating the effectiveness of objective assessment methods on nutritional status indicators using receiver operating characteristic curves; a model construction unit for constructing a risk assessment model for hemodialysis patients based on the effectiveness assessment results using matter-element extension variable weight theory and data fusion technology; and a risk assessment unit for performing individualized risk assessment on hemodialysis patients using the risk assessment model for hemodialysis patients to obtain risk assessment results. The present invention helps to efficiently allocate medical resources, identify high-risk patients early, reduce the occurrence of complications, and improve patient prognosis. It integrates multiple technologies and theories to enhance the innovation and flexibility of the assessment system.

A system for generating objective assessment criteria of social skills, comprising a speech to text system receiving audio data and converting the audio data into text data for a first speaker and a second speaker, a dialog management system processing text data for the first speaker and text data for the second speaker generating a strategic attention score for the first speaker based on responsiveness of the text data of the first speaker to text data of the second speaker, and a response verification system generating a user control for the strategic attention score and receiving feedback data from the second speaker to accept or modify the strategic attention score.

The invention discloses a data asset compliance evaluation method, equipment and a medium, and relates to the technical field of data asset compliance evaluation. The method comprises the following steps: acquiring enterprise data assets, and evaluating the enterprise data assets based on a preset evaluation rule to obtain an evaluation index; based on the evaluation index, determining an influence factor corresponding to the evaluation index, and allocating a weight coefficient for the influence factor; weighted summation is carried out on the influence factors and the weight coefficients corresponding to the influence factors, and evaluation index scores are calculated; and generating compliance risk assessment results and repair suggestions of the enterprise data assets based on the assessment index scores. According to the method, the same measurement standard is established for the enterprise data assets through the unified evaluation rule and influence factor, and the evaluation index score is calculated through weighted summation, so that objective evaluation of the compliance of the data assets is realized.

The present disclosure relates to the field of traffic technology, and provides a vehicle driving safety assessment method and device, the method comprising: constructing an abstract element situation field based on the driving environment information of the target vehicle and the motion data of traffic participants in the driving environment information; constructing a concrete element situation field based on the driving condition of the target vehicle; constructing a subjective cognitive field based on the expected driving trajectory of the target vehicle; and assessing the driving safety of the target vehicle based on the abstract element situation field, the concrete element situation field and the subjective cognitive field. The present disclosure can quantitatively describe the objective traffic risks in combination with the driving environment of the vehicle and the interaction between vehicles in the actual traffic scene, conduct a comprehensive and objective assessment of the driving safety of the target vehicle, and provide a safety evaluation for smart cars that is closer to human cognitive methods, ensuring that the decision-making planning of the automatic driving system can better meet the driver's safety expectations in the actual driving scene, and improve the safety of smart driving.

The embodiment of the invention discloses an insomnia treatment effect assessment method and related equipment. The evaluation method comprises the following steps: acquiring a first fNIRS signal and a second fNIRS signal, and preprocessing the first fNIRS signal to obtain a first effective feature value set; preprocessing the second fNIRS signal to obtain a second effective feature value set; and respectively inputting the first effective feature value set and the second effective feature value set into the target model to respectively obtain a first classification label corresponding to the first effective feature value set and a second classification label corresponding to the second effective feature value set. And obtaining an insomnia treatment effect result of the insomnia patient based on the first classification label and the second classification label. Wherein the classification label is used for indicating the insomnia degree. The evaluation method is used for objectively evaluating the insomnia degree of the insomnia patient, the evaluation result is accurate, the insomnia treatment effect can be effectively evaluated, and decision making can be guided.

Disclosed are methods for assessing severity, determining future risk, matching with a drug treatment, and measuring response to treatment, for memory dysfunction, Alzheimer's disease, and cognitive decline. Also disclosed are new methods of use for drugs and natural compounds repurposed for use in improving memory, as well as for preventing and treating memory disorders, Alzheimer's disease and cognitive decline. All the above-mentioned methods are computer assisted methods analyzing the expression of panels of genes, clinical measures, and drug databases. A universal approach in everybody, as well as a personalized approaches by gender, and by diagnosis, are disclosed.

The invention discloses a multi-source data fusion hospitalized patient psychological state intelligent monitoring system, which relates to the technical field of health monitoring and comprises a data acquisition module, a multi-source data fusion module, an environment correction module, a psychological state evaluation module and a predictive analysis module. According to the method, multi-source data of electrocardiogram, electroencephalogram, facial expression recognition and speech emotion analysis are integrated, so that comprehensive and objective assessment of the psychological state of the patient is realized, and the accuracy and reliability of psychological state recognition are remarkably improved; according to the method, environmental parameters of noise and illumination are collected in real time, the comprehensive feature vector is dynamically corrected in combination with a treatment program feature value, interference of the special environment of a hospital on a monitoring result is greatly reduced, in addition, a psychological state reference model based on a convolutional neural network and an LSTM deep learning prediction algorithm are adopted, and the monitoring accuracy is improved. Not only can the current psychological state be accurately identified, but also psychological crisis can be early warned by analyzing the historical data trend.

This invention relates to the field of hydropower technology, specifically to a multi-dimensional assessment system and method for regional pumped storage development capacity based on data feature modeling and Beta distribution. The assessment method involves constructing a multi-layered Beta distribution model, introducing AHP scores, FCE scores, and TOPSIS scores as raw data, and optimizing them to obtain a more objective assessment report. Applying this assessment system to the aforementioned method, through a data-driven approach combined with reasonable statistical calibration, enhances the objectivity, dynamism, and accuracy of the assessment method, ensuring more scientific and rational support in complex decision-making.

The invention discloses an intelligent pilot post competency monitoring device and method. The device comprises a monitoring cloud platform display unit, a display unit, a control unit, a data collecting and processing unit and a post competency system. The pilot post competency assessment method effectively solves the technical problems of discontinuous monitoring, non-objective assessment and non-intercommunication of data in the existing pilot post competency assessment method. According to the method, the strong relevance between training investment and efficient improvement of safety performance is improved, low-cost and efficient pilot post competency evaluation is realized, the method adapts to variable requirements of future flight scenes, and a scientific, accurate and flexible selection and evaluation solution is provided.

The application discloses a kind of based on force feedback timing data's acupuncture skill objective assessment and scoring method, belong to intelligent acupuncture teaching technical field, including the following steps: S1, three-dimensional force feedback timing original data under standard assessment action is collected;S2, original force feedback timing data is preprocessed;S3, four-dimensional multidimensional feature vector of time domain dynamics, frequency domain rhythm, time-frequency domain coupling and technique cooperativity is extracted from standardization timing data;S4, feature weight distribution model based on improved analytic hierarchy process is constructed, and the weight coefficient of each characteristic dimension and sub-feature is determined;S5, the standard deviation of expert standard value and each sub-feature is determined, establishes type fuzzy membership function single feature scoring model, and each sub-feature single score is calculated;S6, according to feature weight coefficient and single score, calculate comprehensive skill score, generate assessment analysis report.The application realizes the whole process, high precision, objective assessment of acupuncture skill, and is convenient for traditional chinese medical science acupuncture teaching.

The invention relates to a vehicle function safety risk assessment method and device, equipment, a medium and a vehicle. The method comprises the steps that environment parameters corresponding to a vehicle function operation scene are determined; determining driving behavior parameters according to the road test natural driving data corresponding to the hazard event; and according to the environmental parameters, the driving behavior parameters and the duration time of the hazard event, determining the vehicle function safety risk level. By parameterizing the driving behavior information of the driver and the vehicle function operation event, the vehicle function safety is objectively evaluated, the situation that function safety evaluation mainly based on manual subjective analysis is conducted depending on teams executing rating work and expert knowledge and experience is avoided, and the reliability of vehicle function safety risk evaluation can be improved.

This invention discloses a dynamic and collaborative prognostic assessment method for aneurysmal subarachnoid hemorrhage, comprising the following steps: training five sets of machine learning models based on common assessment features in the training set using a 10-fold cross-validation method to obtain five common prediction models for aneurysmal subarachnoid hemorrhage (FO); training five sets of machine learning models based on personalized assessment features in the training set using a 10-fold cross-validation method to obtain five individual prediction models for FO; dynamically combining the optimal FO common prediction model and the optimal FO individual prediction model using dynamic weights to obtain the optimal FO prediction model; and deploying a prediction tool based on the optimal FO prediction model in a web portal. This invention ensures a synergistic match between the model's generalization and accuracy, establishing a network-based prediction tool to provide clinicians with more convenient and objective assessment and to offer individualized prognostic functional status predictions for each patient.