27 results about "Diagnostic evaluation" patented technology

A method and system of diagnosing a vehicle with a vehicle diagnostic system to provide repair recommendations includes connecting a vehicle diagnostic computer tool to a diagnostic port of a vehicle to be in communication with an electronic system of the vehicle and reading vehicle data information of the vehicle with the vehicle diagnostic computer, such as diagnostic trouble codes (DTCs). A diagnostic evaluation program is operable to detect whether particular electrical vehicle systems are present on the vehicle, such as safety systems including Advanced Driver Assistance Systems. The system may additionally receive information regarding damage to the vehicle, such as from a collision. The system includes a repair information database and a report generator program that is operable to generate a repair recommendation report, including for example based on the vehicle data information, the particular electrical vehicle systems determined to be present, and the damage to the vehicle.

Method, system, apparatus, and computer-readable media for reporting an automated medical opinion, including receiving, via a user interface, patient medical history, diagnostic tests, and current symptoms for a user; identifying, as automated output from a trained model, a diagnostic assessment including one or more of a medical diagnosis, a recommended medical treatment, or an recommended diagnostic medical test based on the patient medical history, diagnostic tests, and current symptoms received via the user interface; sending a report to the user based on the diagnostic assessment; receiving, via a feedback loop, feedback for the diagnostic assessment reported to the user; and updating the trained model based on the feedback.

A diagnostic system for assessing engine wear utilizes data from sensors in a vehicle engine compartment and electronic data from a vehicle communications network to provide a comprehensive diagnostic evaluation. The system includes a sensor device with an audio sensor for capturing engine sound, an accelerometer for detecting vibration, and a near-field communication (NFC) tag for sensor information. The sensor device communicates sound and vibration data to a remote server, while a data acquisition and transfer (DAT) device connected to the vehicle's diagnostic port transmits engine performance metrics. A Dynamic Time Warping (DTW) algorithm aligns time-series data from the sensor and vehicle metrics to identify engine problems. The system supports cloud-based diagnostics and enables optimal sensor placement using geo-location or positional data. Applications include smartphone integration, Wi-Fi 6 communication for high-speed data transfer, and scan modes for varying diagnostic detail levels.

The invention discloses a valve-side dry-type bushing end screen diagnosis and evaluation method, system, medium and equipment, and the method comprises the steps: data collection and preprocessing: obtaining multi-source data of a converter transformer valve-side dry-type bushing through real-time monitoring or historical recording of a sensor; dividing the data set, and dividing the multi-source data into a training set and a test set according to a proportion; building a random forest model, generating training subsets of a plurality of decision trees from the training set by adopting replacement random sampling, randomly selecting a feature subset for each decision tree, performing node splitting based on an information gain ratio, and generating the decision trees in a depth-first mode until a preset maximum depth is reached; performing model integration and diagnosis, adopting a voting mechanism to integrate classification results of all decision trees, and outputting defect types and state evaluation grades, the state evaluation grades being grade II and grade I; and performing dynamic tuning and deployment, performing model parameter optimization by taking a test set macro average F1 score greater than or equal to 0.9 as a threshold value, and performing real-time diagnosis on the optimized model.

This invention relates to a method and computing system for obtaining a treatment plan for a user. The method includes the steps of: receiving multiple general input data from a given user on a computing platform; generating a treatment identifier code from the multiple general input data; collecting multiple consultation data related to the user; scanning at least a portion of the user on the computing platform; and generating a treatment plan from the scan of at least a portion of the user. The invention also relates to a system and computing platform consistent with the method.

The present application relates to the technical field of fault diagnosis of air-conditioning units, and specifically to a method for fault diagnosis of water-cooled precision air-conditioning units. When applied, the present application can perform multi-dimensional diagnosis, combining compression conditions, compressor vibration, and evaporation and condensation data, covering electrical, mechanical, and thermal system faults. False alarms are eliminated through time correlation, thereby improving diagnostic reliability. Moreover, after calculating the correlation quantity, the correlation between each fault can be quantitatively analyzed, and different levels of fault diagnosis evaluation can be performed for different correlation quantities. The focus can be on monitoring signals with high correlation quantities, and higher priority and more computing power can be provided for signal monitoring with high correlation quantities. The present application significantly improves the fault detection rate and diagnostic efficiency of precision air-conditioning units, performs correlation evaluation on each fault, and can perform multi-dimensional diagnostic evaluation on the fault.

This invention discloses an intelligent diagnostic system and method for intersection operation status based on feature matching. Specifically, it involves: collecting peak and off-peak video data from an unmanned aerial vehicle (UAV) above the intersection; detecting dynamic parameters such as traffic flow and speed of motor vehicles and non-motor vehicles at the intersection, as well as static parameters such as the coordinates of lane markings and guide arrows inside and at the intersection's entrances; constructing a multi-dimensional fusion indicator system; establishing a database of intersection influencing factors and a database of improvement measures; simulating and extrapolating data obtained from static modeling and dynamic perception using digital twin technology to acquire data features of different traffic scenarios from the intersection influencing factor database; and achieving a one-to-one strong rule association between the influencing factor database and the improvement measure database through multi-dimensional Apriori association rules. This invention effectively improves the low accuracy and efficiency of existing non-motor vehicle detection methods and provides adaptive diagnostic evaluation for intersections of different specifications.

The invention discloses a valve side dry type sleeve guide rod expansion displacement diagnosis and evaluation method, system and device and a medium, and relates to the technical field of power equipment state monitoring. The evaluation method comprises the following steps of data acquisition and preprocessing, data set division, displacement decomposition model construction, guide rod expansion displacement extraction, state evaluation and early warning and model optimization and updating. The evaluation system comprises a multi-source sensing unit, an intelligent analysis unit and a decision support unit, all the units achieve efficient cooperation through standardized data interfaces, and stable operation of the system under complex working conditions is ensured. The method solves the problem that a traditional method cannot distinguish displacement sources, online monitoring and accurate evaluation of the mechanical state of the bushing are achieved, potential faults such as abnormal expansion of the guide rod can be found in time, and the method is suitable for health state monitoring and fault early warning of the converter transformer bushing in a high-voltage direct-current power transmission system and has good application prospects. And a new technical means is provided for safe operation of power equipment.

The present application relates to a kind of control system dynamic evaluation system and method based on step autonomous perception, the system provides multiple types of industrial field protocol data communication interface, with any monitoring system platform realizes data interaction, the system is composed of four core function modules of data interface adaptation, step autonomous perception, data state latch, index quantitative calculation, based on autonomous controllable programmable logic controller, build a set of automatic control quality dynamic evaluation guidance system with autonomous perception.The present application solves the defect that the general-purpose of traditional control system evaluation system platform is poor, the method involved in the present application realizes the dynamic index evaluation and parameter configuration guidance of cross-platform control system, realizes the autonomous controllable alternative scheme of diagnostic evaluation type technical product, can effectively help energy production enterprise to realize intelligent management and intelligent operation.

Systems and methods include a diagnostic evaluation environment that may provide probabilities of occurrence for one or more conditions based on evaluation of an input dataset. The probabilities may be based on multivariate evaluation of the input dataset against one or more pre-determined clinical metrics. In operation, a distributed environment may process the input dataset to visualize information for a given range and then provide probabilities and associated metric values for different occurrences and conditions to provide diagnostic support to treat one or more conditions.

Systems and methods include a diagnostic evaluation environment that may provide probabilities of occurrence for one or more conditions based on evaluation of an input dataset. The probabilities may be based on multivariate evaluation of the input dataset against one or more pre-determined clinical metrics. In operation, a distributed environment may process the input dataset to visualize information for a given range and then provide probabilities and associated metric values for different occurrences and conditions to provide diagnostic support to treat one or more conditions.

The invention discloses a cross-specialist diagnosis evaluation method and a related device, and relates to the technical field of data processing, and the method comprises the steps: obtaining a target case text of a plurality of specialists related to pathogenesis and a corresponding candidate diagnosis set, employing a specialist evaluation model of each specialist, and carrying out the independent evaluation of the candidate diagnosis set according to the target case text, the method comprises the steps of obtaining a specialist assessment result of each specialist, performing cross-specialist collaborative assessment based on all the specialist assessment results to obtain a cross-specialist collaborative assessment result corresponding to each specialist assessment result, and generating a fusion assessment result according to all the cross-specialist collaborative assessment results. The fusion evaluation result is used for representing comprehensive confidence distribution of each candidate diagnosis in the candidate diagnosis set after cross-specialist collaborative evaluation. According to the method, the evaluation process consistent with the real consultation process is adopted, so that the fusion evaluation result can more accurately perform confidence evaluation on each candidate diagnosis in the candidate diagnosis set, and the interpretability of the evaluation process is higher.

Techniques are described that facilitate integrating artificial intelligence (AI) informatics in healthcare systems using a distributed learning platform. In one embodiment, a computer-implemented is provided that comprises interfacing, by a system operatively coupled to a processor, with a medical imaging application that provides for viewing medical image data. The method further comprises, facilitating, by the system, generation of structured diagnostic data according to a defined ontology in association with usage of the imaging application to perform a clinical evaluation of the medical image data. The method further comprises providing, by the system, the structured diagnostic data to one or more machine learning systems, wherein based on the providing, the one or more machine learning systems employ the structured diagnostic data as training data to generate or train one or more diagnostic models configured to provide artificial intelligence-based diagnostic evaluations of new medical image data.

A remote patient monitoring (RPM) system is disclosed that acquires blood pressure (BP) data from a BP monitor and enriches the data with contextual information obtained directly from the user during the measurement session. The BP monitor includes a display and input hardware for presenting questions and receiving predetermined responses that form contextual data associated with the BP data. The enriched BP data is transmitted to a server, which attributes a notification level using a correspondence database linking BP values and contextual data to notification levels or level variations. A remote monitoring interface, executed on a device used by a healthcare professional, displays the BP data in a display mode determined by the attributed notification level. The system reduces false alerts, improves triage efficiency, and provides clinically actionable information for diagnostic assessment in remote-care environments.

A portable medical device for diagnostic assessments, wherein the portable medical device comprises: a plurality of medical instruments each medical instrument including one or more sensors, wherein each sensor of the one or more medical instruments is configured to receive one or more samples from body of a person having information of that body; a processor to determine a plurality of parameters based on the information from the one or more samples; a memory unit operably connected to the processor and configured to store machine readable instructions, the processor obtaining the machine-readable instructions from the memory unit, and being configured by the machine-readable instructions to compare the determined the plurality of parameters with predefined parameters to thereby determine health related information of the human body based on the comparison.

We provide the system. [Solution] A location acquisition means for acquiring highly accurate location information, A communication means for transmitting collected driving behavior data, A data analysis means for analyzing received data and evaluating driving ability, An evaluation method for diagnosing driving ability based on analysis results, A means for generating reports that provide diagnostic results to the user, A reporting method for sending reports, A driving ability diagnostic system including...

Method and apparatus for performing automatic cardiac diagnosis. The apparatuses described herein may be handheld devices which enables self-recording of cardiac signals by the patient, including entering relevant data by patients regarding their cardiac history, including cardiac disease risk factors, and / or current conditions and symptoms. Based on recorded cardiac signals, cardiac risk factors and the current symptoms, the apparatus may calculates a cardiac risk score and may provide simplified diagnostic information and actionable instructions to the patient.

The invention discloses an oil-impregnated paper sleeve diagnosis and evaluation method, system, medium and equipment, and the method comprises the steps: collecting multi-source data of an oil-impregnated paper sleeve, extracting characteristic parameters, and carrying out the preprocessing of the characteristic parameters, and the preprocessing comprises the filling of a missing value as NaN and the data cleaning; a rule base of the expert system is constructed, the rule base comprises preset fault diagnosis rules, and the rule form is that if the characteristic parameters meet threshold conditions, corresponding state evaluation is triggered, the preprocessed characteristic parameters are input into the expert system, the rules in the rule base are matched through an inference engine, and a fault diagnosis result and state evaluation are generated; outputting a graded early warning signal according to a fault diagnosis result, reinforcing monitoring when a fault in an incubation period is triggered, and stopping maintenance when a fault in a critical period is triggered; and optimizing rule base parameters by adopting a grid search method, adjusting rule weights by taking a test set F1 score greater than or equal to 0.85 as an objective function, and deploying the optimized rule base into an online monitoring system.

The invention discloses a pupil composition writing auxiliary method, which belongs to the technical field of educational informatization, and comprises the following steps: receiving composition task information input by a student, identifying whether the composition task information belongs to a proposition composition, a semi-proposition composition or a material composition, entering a corresponding guide process, and according to the identified question type, selecting a question from the question task information; a corresponding guiding strategy is adopted to help students to complete concepts, then the students independently complete compositions and submit the compositions, after the students submit the compositions, automatic analysis is carried out from four dimensions, a diagnostic evaluation report is generated, and based on the diagnostic evaluation report, a targeted improvement material package and a comparison model essay are provided for weak links. The students are guided to carry out contrastive reflection of the original text and the model essay, and the writing ability is improved; according to the composition writing auxiliary method for the pupils, independent thinking of the pupils can be protected, meanwhile, question type adaptive guidance and personalized weak point strengthening are provided, and the writing ability can be systematically improved.

To provide an apparatus and method for training an artificial intelligence-supported diagnostic assessment tool.SOLUTION: Described herein are systems, methods and apparatuses for identifying LQTS in a subject. A system may include an electrocardiogram (ECG) sensor configured to detect ECG data. A system may include a computing device configured to: receive electrocardiogram (ECG) data; train an LQTS determination machine learning model on a training dataset including multiple pieces of example ECG data as inputs correlated with multiple pieces of example LQTS data as outputs; and generate LQTS determination data as a function of the ECG data using the trained LQTS determination machine learning model. A system may include a display configured to display LQTS determination data.SELECTED DRAWING: Figure 1

In certain embodiments, an ophthalmic system and computer-implemented method for analyzing multiple spectral information to generate ophthalmic information are described. In an exemplary ophthalmic system, multiple spectral information associated with an eye of a patient is captured via an imaging system. A first set of information and a second set of information are extracted from the multiple spectral information. A visualization of the multiple spectral information is generated using the first set of information. The first set of information and the second set of information are evaluated using different deep learning models to generate ophthalmic information. The ophthalmic information is sent to a user for diagnostic evaluation.

A portable medical device for diagnostic assessments, wherein the portable medical device comprises: a plurality of medical instruments each medical instrument including one or more sensors, wherein each sensor of the one or more medical instruments is configured to receive one or more samples from body of a person having information of that body; a processor to determine a plurality of parameters based on the information from the one or more samples; a memory unit operably connected to the processor and configured to store machine readable instructions, the processor obtaining the machine-readable instructions from the memory unit, and being configured by the machine-readable instructions to compare the determined the plurality of parameters with predefined parameters to thereby determine health related information of the human body based on the comparison.

The present invention relates to the technical field of bearing fault diagnosis, and in particular to a bearing fault diagnosis and evaluation method based on knowledge feature fusion. The method comprises: extracting historical fault feature data; training a fault diagnosis model; using the output of the training data in the feature layer of the fault diagnosis model to introduce a central loss function to train an embedding layer network model; mapping the feature data with the embedding layer network model; weightedly fusing the mapped data with the knowledge features based on the data; calculating the local density distribution of adjacent data; and calculating the confidence of the diagnosis result. The present invention estimates the confidence of the model diagnosis result based on the local density distribution of the sample in the embedding space by fusing the features extracted during the diagnosis process of the fault diagnosis model and the features of the fault data itself, thereby solving the problems of difficulty in confidence evaluation of the fault diagnosis model and poor interpretability of the general evaluation process, and can obtain confidence evaluation results under complex models and complex data.

The present disclosure provides methods of uses thereof for improved diagnostic applications using genome-wide patterns of fragmented cell-free DNA (cfDNA) from plasma, derived by low-coverage whole-genome sequencing, and analyzed in conjunction with certain clinical and demographic features of individual patients. In particular, the present invention provides new and effective methods for confirming the presence or absence of cancer in an individual patient already suspected of having cancer.

The present disclosure provides methods of uses thereof for improved diagnostic applications using genome-wide patterns of fragmented cell-free DNA (cfDNA) from plasma, derived by low-coverage whole-genome sequencing, and analyzed in conjunction with certain clinical and demographic features of individual patients. In particular, the present invention provides new and effective methods for confirming the presence or absence of cancer in an individual patient already suspected of having cancer.

The invention relates to the field of medicine, psychology and psychotherapy, as well as to computer information technology. It is based on the 8-phase psychotherapy technique of F. Shapiro for treating stress and post-traumatic stress disorder in patients. The technique involves eight consecutive phases (EMDR Association (Eye Movement Desensitization and Reprocessing), https: / / emdr.ru / news / 2018 / emdr-terapiya-obzor-razvitiya-i-mekhanizmy-deystviya). The prototype of the claimed invention is the method described in 'Intelligent virtual environment for treating anxiety exploring the Eye Movement Desensitization and Reprocessing technique' (https: / / www.researchgate.net / publication / 357606075_Intelligent_virtual_environment_for_treati ng_anxiety_exploring_the_Eye_Movement_Desensitization_and_Reprocessing_technique). A disadvantage of the prototype is that artificial intelligence is used in a limited fashion merely to determine the level of anxiety and adjust the movement of the ball in accordance therewith, and to record information. Furthermore, the prototype presupposes the involvement of a therapist, albeit to a lesser extent than in the previous version. A virtual therapist interacts with patients by means of speech, and responses to questions from a real therapist, in addition to anxiety level and heart rate, must be logged by the real therapist with the aid of a keyboard during communication with patients in virtual reality. A further disadvantage of the prototype is its focus on solving a limited number of patient problems (relieving stress and PTSD), i.e. only one protocol is used, and the fact that it cannot be used without the involvement of a therapist. The prototype is unable to provide a diagnostic assessment of problematic states of a wide range of psychological problems, select a corrective protocol, monitor the effectiveness of correction, and propose additional methods of correction. The claimed invention solves the technical problem of broadening the range of negative and problematic states that can be diagnosed (not just the level of PTSD) and making it possible to select and implement the specific protocol required to correct the problem identified, as well as to assess the effectiveness of correction and to propose additional solutions, wherein all of these aims are achieved without involving a therapist. A significant defining feature of the proposed method is the possibility of identifying a problem state in an initial step and selecting a suitable software-automated protocol tailored to each identified category of problem.